Tag Archives: artificial intelligence

Corporate Sci-Fi.

Note: Also published on LinkedIn

 

Why your company needs to play in the future.

As a professor of design and a design fiction researcher, I write academic papers and blog weekly about the future. I teach about the future of design, and I create future scenarios, sometimes with my students, that provoke us to look at what we are doing, what we are making, why we are making it and the ramifications that are inevitable. Primarily I try to focus both designers and decision makers on the steps they can take today to keep from being blindsided tomorrow. Futurists seem to be all the rage these days telling us to prepare for the Singularity, autonomous everything, or that robots will take our jobs. Recently, Jennifer Doudna, co-inventor of the gene editing technique called CrisprCas9 has been making the rounds and sounding the alarm that technology is moving so fast that we aren’t going to be able to contain a host of unforeseen (and foreseen) circumstances inside Pandora’s box. This concern should be prevalent, however, beyond just the bioengineering fields and extend into virtually anywhere that technology is racing forward fueled by venture capital and the desperate need to stay on top of whatever space in which we are playing. There is a lot at stake. Technology has already redefined privacy, behavioral wellness, personal autonomy, healthcare, labor, and maybe even our humanness, just to name a few.

Several recent articles have highlighted the changing world of design and how the pressure is on designers to make user adoption more like user addiction to ensure the success of a product or app. The world of behavioral economics is becoming a new arena in which we are using algorithms to manipulate users. Some designers are passing the buck to the clients or corporations that employ them for the questionable ethics of addictive products; others feel compelled to step aside and work on less lucrative projects or apply their skills to social causes. Most really care and want to help. But designers are uniquely positioned and trained to tackle these wicked problems—if we would collaborate with them.

Beyond the companies that might be deliberately trying to manipulate us, are those that unknowingly, or at least unintentionally, transform our behaviors in ways that are potentially harmful. Traditionally, we seek to hold someone responsible when a product or service is faulty, the physician for malpractice, the designer or manufacturer when a toy causes injury, a garment falls apart, or an appliance self-destructs. But as we move toward systemic designs that are less physical and more emotional, behavioral, or biological, design faults may not be so easy to identify and their repercussions noticeable only after serious issues have arisen. In fact, we launch many of the apps and operating systems used today with admitted errors and bugs. Designers rely on real-life testing to identify problems, issue patches, revisions, and versions.

In the realm of nanotechnology, while scientists and thought leaders have proposed guidelines and best-practices, research and development teams in labs around the world race forward without regulation creating molecule-sized structures, machines, and substances with no idea whether they are safe or what might be long-term effects of exposure to these elements. In biotechnology, while folks like Jennifer Doudna appeal to a morally ethical cadre of researchers to tread carefully in the realm of genetic engineering (especially when it comes to inheritable gene manipulation) we do not universally share those morals and ethics. Recent headlines attest to the fact that some scientists are bent on moving forward regardless of the implications.

Some technologies such as our smartphones have become equally invasive technology, yet they are now considered mundane. In just ten years since the introduction of the iPhone, we have transformed behaviors, upended our modes of communication, redefined privacy, distracted our attentions, distorted reality and manipulated a predicted 2.3 billion users as of 2017. [1] It is worth contemplating that this disruption is not from a faulty product, but rather one that can only be considered wildly successful.

There are a plethora of additional technologies that are poised to refine our worlds yet again including artificial intelligence, ubiquitous surveillance, human augmentation, robotics, virtual, augmented and mixed reality and the pervasive Internet of Things. Many of these technologies make their way into our experiences through the promise of better living, medical breakthroughs, or a safer and more secure life. But too often we ignore the potential downsides, the unintended consequences, or the systemic ripple-effects that these technologies spawn. Why?

In many cases, we do not want to stand in the way of progress. In others, we believe that the benefits outweigh the disadvantages, yet this is the same thinking that has spawned some of our most complex and daunting systems, from nuclear weapons to air travel and the internal combustion engine. Each of these began with the best of intentions and, in many ways were as successful and initially beneficial as they could be. At the same time, they advanced and proliferated far more rapidly than we were prepared to accommodate. Dirty bombs are a reality we did not expect. The alluring efficiency with which we can fly from one city to another has nevertheless spawned a gnarly network of air traffic, baggage logistics, and anti-terrorism measures that are arguably more elaborate than getting an aircraft off the ground. Traffic, freeways, infrastructure, safety, and the drain on natural resources are complexities never imagined with the revolution of personal transportation. We didn’t see the entailments of success.

This is not always true. There have often been scientists and thought leaders who were waving the yellow flag of caution. I have written about how, “back in 1975, scientists and researchers got together at Asilomar because they saw the handwriting on the wall. They drew up a set of resolutions to make sure that one day the promise of Bioengineering (still a glimmer in their eyes) would not get out of hand.”[2] Indeed, researchers like Jennifer Doudna continue to carry the banner. A similar conference took place earlier this year to alert us to the potential dangers of technology and earlier this year another to put forth recommendations and guidelines to ensure that when machines are smarter than we are they carry on in a beneficent role. Too often, however, it is the scientists and visionaries who attend these conferences. [3] Noticeably absent, though not always, is corporate leadership.

Nevertheless, in this country, there remains no safeguarding regulation for nanotech, nor bioengineering, nor AI research. It is a free-for-all, and all of which could have massive disruption not only to our lifestyles but also our culture, our behavior, and our humanness. Who is responsible?

For nearly 40 years there has been an environmental movement that has spread globally. Good stewardship is a good idea. But it wasn’t until most corporations saw a way for it to make economic sense that they began to focus on it and then promote it as their contribution to society, their responsibility, and their civic duty. As well intentioned as they may be (and many are) much more are not paying attention to the effect of their technological achievements on our human condition.

We design most technologies with a combination of perceived user need and commercial potential. In many cases, these are coupled with more altruistic motivations such as a “do no harm” commitment to the environment and fair labor practices. As we move toward the capability to change ourselves in fundamental ways, are we also giving significant thought to the behaviors that we will engender by such innovations, or the resulting implications for society, culture, and the interconnectedness of everything?

Enter Humane Technology

Ultimately we will have to demand this level of thought, beginning with ourselves. But we should not fight this alone. Corporations concerned with appearing sensitive and proactive toward the environment and social justice need to add a new pillar to their edifice as responsible global citizens: humane technology.

Humane technology considers the socio-behavioral ramifications of products and services: digital dependencies, and addictions, job loss, genetic repercussions, the human impact from nanotechnologies, AI, and the Internet of Things.

To whom do we turn when a 14-year-old becomes addicted to her smartphone or obsessed with her social media popularity? We could condemn the parents for lack of supervision, but many of them are equally distracted. Who is responsible for the misuse of a drone to vandalize property or fire a gun or the anticipated 1 billion drones flying around by 2030? [4] Who will answer for the repercussions of artificial intelligence that spouts hate speech? Where will the buck stop when genetic profiling becomes a requirement for getting insured or getting a job?

While the backlash against these types of unintended consequences or unforeseen circumstances are not yet widespread and citizens have not taken to the streets in mass protests, behavioral and social changes like these may be imminent as a result of dozens of transformational technologies currently under development in labs and R&D departments across the globe. Who is looking at the unforeseen or the unintended? Who is paying attention and who is turning a blind eye?

It was possible to have anticipated texting and driving. It is possible to anticipate a host of horrific side effects from nanotechnology to both humans and the environment. It’s possible to tag the ever-present bad actor to any number of new technologies. It is possible to identify when the race to master artificial intelligence may be coming at the expense of making it safe or drawing the line. In fact, it is a marketing opportunity for corporate interests to take the lead and the leverage their efforts to preempt adverse side effects as a distinctive advantage.

Emphasizing humane technology is an automatic benefit for an ethical company, and for those more concerned with profit than ethics, (just between you and me) it offers the opportunity for a better brand image and (at least) the appearance of social concern. Whatever the motivation, we are looking at a future where we are either prepared for what happens next, or we are caught napping.

This responsibility should start with anticipatory methodologies that examine the social, cultural and behavioral ramifications, and unintended consequences of what we create. Designers and those trained in design research are excellent collaborators. My brand of design fiction is intended to take us into the future in an immersive and visceral way to provoke the necessary discussion and debate that anticipate the storm should there be one, but promising utopia is rarely the tinder to fuel a provocation. Design fiction embraces the art critical thinking and thought problems as a means of anticipating conflict and complexity before these become problems to be solved.

Ultimately we have to depart from the idea that technology will be the magic pill to solve the ills of humanity, design fiction, and other anticipatory methodologies can help to acknowledge our humanness and our propensity to foul things up. If we do not self-regulate, regulation will inevitably follow, probably spurred on by some unspeakable tragedy. There is an opportunity, now for the corporation to step up to the future with a responsible, thoughtful compassion for our humanity.

 

 

1. https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/

2. http://theenvisionist.com/2017/08/04/now-2/

3. http://theenvisionist.com/2017/03/24/genius-panel-concerned/

4. http://www.abc.net.au/news/2017-08-31/world-of-drones-congress-brisbane-futurist-thomas-frey/8859008

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What did one AI say to the other AI?

I’e asked this question before, but this is an entirely new answer.

We may  never know.

Based on a plethora of recent media on artificial intelligence (AI), not only are there a lot of people working on it, but many of those on the leading edge are also concerned with what they don’t understand in the midst of their ominous new creation.

Amazon, DeepMind/Google, Facebook, IBM, and Microsoft teamed up to form the Partnership on AI.(1) Their charter talks about sharing information and being responsible. It includes all of the proper buzz words for a technosocial contract.

“…transparency, security and privacy, values and ethics, collaboration between people and AI systems, interoperability of systems, and of the trustworthiness, reliability, containment, safety, and robustness of the technology.”(2)

They are not alone in this concern, as the EU(3) is also working on AI guidelines and a set of rules on robotics.

Some of what makes them all a bit nervous is the way AI learns, the complexity of neural networks and inability to go back and see how the AI arrived at its conclusion. In other words, how do we know that its recommendation is the right one? Adding to that list is the discovery that AIs working together can create their own languages; languages we don’t speak or understand. In one case, at Facebook, researchers saw this happening and stopped it.

For me, it’s a little disconcerting that Facebook, a social media app is one of those corporations leading the charge and leading the research into AI. That’s a broad topic for another blog, but their underlying objective is to market to you. That’s how they make their money.

To be fair, that is at least part of the motivation for Amazon, DeepMind/Google, IBM, and Microsoft, as well. The better they know you, the more stuff they can sell you. Of course, there are also enormous benefits to medical research as well. Such advantages are almost always what these companies talk about first. AI will save your life, cure cancer and prevent crime.

So, it is somewhat encouraging to see that these companies on the forefront of AI breakthroughs are also acutely aware of how AI could go terribly wrong. Hence we see wording from the Partnership on AI, like

“…Seek out, support, celebrate, and highlight aspirational efforts in AI for socially benevolent applications.”

The key word here is benevolent. But the clear objective is to keep the dialog positive, and

“Create and support opportunities for AI researchers and key stakeholders, including people in technology, law, policy, government, civil liberties, and the greater public, to communicate directly and openly with each other about relevant issues to AI and its influences on people and society.”(2)

I’m reading between the lines, but it seems like the issue of how AI will influence people and society is more of an obligatory statement intended to demonstrate compassionate concern. It’s coming from the people who see huge commercial benefit from the public being at ease with the coming onslaught of AI intrusion.

In their long list of goals, the “influences” on society don’t seem to be a priority. For example, should they discover that particular AI has a detrimental effect on people, that their civil liberties are less secure, would they stop? Probably not.

At the rate that these companies are racing toward AI superiority, the unintended consequences for our society are not a high priority. While these groups are making sure that AI does not decide to kill us, I wonder if they are also looking at how the AI will change us and are those changes a good thing?

(1) https://www.fastcodesign.com/90132632/ai-is-inventing-its-own-perfect-languages-should-we-let-it

(2) https://www.partnershiponai.org/#

(3) http://www.europarl.europa.eu/sides/getDoc.do?pubRef=-//EP//NONSGML%2BCOMPARL%2BPE-582.443%2B01%2BDOC%2BPDF%2BV0//EN

Other pertinent links:

https://www.fastcompany.com/3064368/we-dont-always-know-what-ai-is-thinking-and-that-can-be-scary

https://www.fastcodesign.com/90133138/googles-next-design-project-artificial-intelligence

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Watching and listening.

 

Pay no attention to Alexa, she’s an AI.

There was a flurry of reports from dozens of news sources (including CNN) last week that an Amazon Echo, (Alexa), called the police during a New Mexico incident of domestic violence. The alleged call began a SWAT standoff, and the victim’s boyfriend was eventually arrested. Interesting story, but after a fact-check, that could not be what happened. Several sources including the New York Times and WIRED debunked the story with details on how Alexa calling 911 is technologically impossible, at least for now. And although the Bernalillo, New Mexico County Sheriff’s Department swears to it, according to WIRED,

“Someone called the police that day. It just wasn’t Alexa..”

Even Amazon agrees from a spokesperson email,

“The receiving end would also need to have an Echo device or the Alexa app connected to Wi-Fi or mobile data, and they would need to have Alexa calling/messaging set up,”1

So it didn’t happen, but most agree, while it may be technologically impossible today, it probably won’t be for very long. The provocative side of the WIRED article proposed this thought:

“The Bernalillo County incident almost certainly had nothing to do with Alexa. But it presents an opportunity to think about issues and abilities that will become real sooner than you might think.”

On the upside, some see benefits from the ability of Alexa to intervene in a domestic dispute that could turn lethal, but they fear something called “false positives.” Could an off handed comment prompt Alexa to make a call to the police? And if it did would you feel as though Alexa had overstepped her bounds?

Others see the potential in suicide prevention. Alexa could calm you down or make suggestions for ways to move beyond the urge to die.

But as we contemplate opening this door, we need to acknowledge that we’re letting these devices listen to us 24/7 and giving them the permission to make decisions on our behalf whether we want them to or not. The WIRED article also included a comment from Evan Selinger of RIT (whom I’ve quoted before).

“Cyberservants will exhibit mission creep over time. They’ll take on more and more functions. And they’ll habituate us to become increasingly comfortable with always-on environments listening to our intimate spaces.”

These technologies start out as warm and fuzzy (see the video below) but as they become part of our lives, they can change us and not always for the good. This idea is something I contemplated a couple of years ago with my Ubiquitous Surveillance future. In this case, the invasion was not as a listening device but with a camera (already part of Amazon’s Echo Look). You can check that out and do your own provocation by visiting the link.

I’m glad that there are people like Susan Liautaud (who I wrote about last week) and Evan Selinger who are thinking about the effects of technology on society, but I still fear most of us take the stance of Dan Reidenberg, who is also quoted in the WIRED piece.

“‘I don’t think we can avoid this. This is where it is going to go. It is really about us adapting to that,” he says.’”

 

Nonsense! That’s like getting in the car with a drunk driver and then doing your best to adapt. Nobody is putting a gun to your head to get into the car. There are decisions to be made here, and they don’t have to be made after the technology has created seemingly insurmountable problems or intrusions in our lives. The companies that make them should be having these discussions now, and we should be invited to share our opinions.

What do you think?

 

  1. http://wccftech.com/alexa-echo-calling-911/
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Ethical tech.

Though I tinge most of my blogs with ethical questions, the last time I brought up this topic specifically on this was back in 2015. I guess I am ready to give it another go. Ethics is a tough topic. If we deal with this purely superficially, ethics would seem natural, like common sense, or the right thing to do. But if that’s the case, why do so many people do the wrong thing? Things get even more complicated if we move into institutionally complex issues like banking, or governing, technology, genetics, health care or national defense, just to name a few.

The last time I wrote about this, I highlighted Michael Sandel Professor of Philosophy and Government at Harvard’s Law School, where he teaches a wildly popular course called “Justice.” Then, I was glad to see that the big questions were still being addressed in in places like Harvard. Some of his questions then, which came from a FastCo article, were:

“Is it right to take from the rich and give to the poor? Is it right to legislate personal safety? Can torture ever be justified? Should we try to live forever? Buy our way to the head of the line? Create perfect children?”

These are undoubtedly important and prescient questions to ask, especially as we are beginning to confront technologies that make things which were formerly inconceivable or plain impossible, not only possible but likely.

So I was pleased to see last month, an op-ed piece in WIRED by Susan Liautaud founder of The Ethics Incubator. Susan is about as closely aligned to my tech concerns as anyone I have read. And she brings solid thinking to the issues.

“Technology is approaching the man-machine and man-animal
boundaries. And with this, society may be leaping into humanity defining innovation without the equivalent of a constitutional convention to decide who should have the authority to decide whether, when, and how these innovations are released into society. What are the ethical ramifications? What checks and balances might be important?”

Her comments are right in line with my research and co-research into Humane Technologies. Liataud continues:

“Increasingly, the people and companies with the technological or scientific ability to create new products or innovations are de facto making policy decisions that affect human safety and society. But these decisions are often based on the creator’s intent for the product, and they don’t always take into account its potential risks and unforeseen uses. What if gene-editing is diverted for terrorist ends? What if human-pig chimeras mate? What if citizens prefer to see birds rather than flying cars when they look out a window? (Apparently, this is a real risk. Uber plans to offer flight-hailing apps by 2020.) What if Echo Look leads to mental health issues for teenagers? Who bears responsibility for the consequences?”

For me, the answer to that last question is all of us. We should not rely on business and industry to make these decisions, nor expect our government to do it. We have to become involved in these issues at the public level.

Michael Sandel believes that the public is hungry for these issues, but we tend to shy away from them. They can be confrontational and divisive, and no one wants to make waves or be politically incorrect. That’s a mistake.

An image from the future. A student design fiction project that examined ubiquitous AR.

So while the last thing I want is a politician or CEO making these decisions, these two constituencies could do the responsible thing and create forums for these discussions so that the public can weigh in on them. To do anything less, borders on arrogance.

Ultimately we will have to demand this level of thought, beginning with ourselves. This responsibility should start with anticipatory methodologies that examine the social, cultural and behavioral ramifications, and unintended consequences of what we create.

But we should not fight this alone. Corporations and governments concerned with appearing sensitive and proactive toward the environment and social justice need to add a new pillar to their edifice as responsible global citizens: humane technology.

 

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An AI as President?

 

Back on May 19th, before I went on holiday, I promised to comment on an article that appeared that week advocating that we would better off with artificial intelligence (AI) as President of the United States. Joshua Davis authored the piece: Hear me out: Let’s Elect
An AI As President, for the business section of WIRED  online. Let’s start out with a few quotes.

“An artificially intelligent president could be trained to
maximize happiness for the most people without infringing on civil liberties.”

“Within a decade, tens of thousands of people will entrust their daily commute—and their safety—to an algorithm, and they’ll do it happily…The increase in human productivity and happiness will be enormous.”

Let’s start with the word happiness. What is that anyway? I’ve seen it around in several discourses about the future, that somehow we have to start focusing on human happiness above all things, but what makes me happy and what makes you happy may very well be different things. Then there is the frightening idea that it is the job of government to make us happy! There are a lot of folks out there that the government should give us a guaranteed income, pay for our healthcare, and now, apparently, it should also make us happy. If you haven’t noticed from my previous blogs, I am not a progressive. If you believe that government should undertake the happy challenge, you had better hope that their idea of happiness coincides with your own. Gerd Leonhard, a futurist whose work I respect, says that there are two types of happiness: first is hedonic (pleasure) which tends to be temporary, and the other is a eudaimonic happiness which he defines as human flourishing.1 I prefer the latter as it is likely to be more meaningful. Meaning is rather crucial to well-being and purpose in life. I believe that we should be responsible for our happiness. God help us if we leave it up to a machine.

This brings me to my next issue with this insane idea. Davis suggests that by simply not driving, there will be an enormous increase in human productivity and happiness. According to the website overflow data,

“Of the 139,786,639 working individuals in the US, 7,000,722, or about 5.01%, use public transit to get to work according to the 2013 American Communities Survey.”

Are those 7 million working individuals who don’t drive happier and more productive? The survey should have asked, but I’m betting the answer is no. Davis also assumes that everyone will be able to afford an autonomous vehicle. Maybe providing every American with an autonomous vehicle is also the job of the government.

Where I agree with Davis is that we will probably abdicate our daily commute to an algorithm and do it happily. Maybe this is the most disturbing part of his argument. As I am fond of saying, we are sponges for technology, and we often adopt new technology without so much as a thought toward the broader ramifications of what it means to our humanity.

There are sober people out there advocating that we must start to abdicate our decision-making to algorithms because we have too many decisions to make. They are concerned that the current state of affairs is simply too painful for humankind. If you dig into the rationale that these experts are using, many of them are motivated by commerce. Already Google and Facebook and the algorithms of a dozen different apps are telling you what you should buy, where you should eat, who you should “friend” and, in some cases, what you should think. They give you news (real or fake), and they tell you this is what will make you happy. Is it working? Agendas are everywhere, but very few of them have you in the center.

As part of his rationale, Davis cites the proven ability for AI to beat the world’s Go champions over and over and over again, and that it can find melanomas better than board-certified dermatologists.

“It won’t be long before an AI is sophisticated enough to
implement a core set of beliefs in ways that reflect changes in the world. In other words, the time is coming when AIs will have better judgment than most politicians.”

That seems like grounds to elect one as President, right? In fact, it is just another way for us to take our eye off the ball, to subordinate our autonomy to more powerful forces in the belief that technology will save us and make us happier.

Back to my previous point, that’s what is so frightening. It is precisely the kind of argument that people buy into. What if the new AI President decides that we will all be happier if we’re sedated, and then using executive powers makes it law? Forget checks and balances, since who else in government could win an argument against an all-knowing AI? How much power will the new AI President give to other algorithms, bots, and machines?

If we are willing to give up the process of purposeful work to make a living wage in exchange for a guaranteed income, to subordinate our decision-making to have “less to think about,” to abandon reality for a “good enough” simulation, and believe that this new AI will be free of the special interests who think they control it, then get ready for the future.

1. Leonhard, Gerd. Technology vs. Humanity: The Coming Clash between Man and Machine. p112, United Kingdom: Fast Future, 2016. Print.

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Power sharing?

Just to keep you up to speed, everything is on schedule or ahead of schedule.

In the race toward a superintelligence or ubiquitous AI. If you read this blog or you are paying attention at any level, then you know the fundamentals of AI. But for those of you who don’t here are the basics. Artificial Intelligence comes from processing and analyzing data. Big data. Then programmers feed a gazillion linked-up computers (CPUs) with algorithms that can sort this data and make predictions. This process is what is at work when the Google search engine makes suggestions concerning what you are about to key into the search field. These are called predictive algorithms. If you want to look at pictures of cats, then someone has to task the CPUs with learning what a cat looks like as opposed to a hamster, then scour the Internet for pictures of cats and deliver them to your search. The process of teaching the machine what a cat looks like is called machine learning. There is also an algorithm that watches your online behavior. That’s why, after checking out sunglasses online, you start to see a plethora of ads for sunglasses on just about every page you visit. Similar algorithms can predict where you will drive to today, and when you are likely to return home. There is AI that knows your exercise habits and a ton of other physiological data about you, especially when you’re sharing your Fitbit or other wearable data with the Cloud. Insurance companies extremely interested in this data, so that it can give discounts to “healthy” people and penalize the not so healthy. Someday they might also monitor other “behaviors” that they deem to be not in your best interests (or theirs). Someday, especially if we have a “single-payer” health care system (aka government healthcare), this data may be required before you are insured. Before we go too far into the dark side (which is vast and deep), AI can also search all the cells in your body and identify which ones are dangerous, and target them for elimination. AI can analyze a whole host of things that humans could overlook. It can put together predictions that could save your life.

Googles chips stacked up and ready to go. Photo from WIRED.

Now, with all that AI background behind us, this past week something called Google I/O went down. WIRED calls it Google’s annual State-of-the-Union address. There, Sundar Pichai unveiled something called TPU 2.0 or Cloud TPU. This is something of a breakthrough, because, in the past, the AI process that I just described, even though lighting fast and almost transparent, required all those CPUs, a ton of space (server farms), and gobs of electricity. Now, Google (and others) are packing this processing into chips. These are proprietary to Google. According to WIRED,

“This new processor is a unique creation designed to both train and execute deep neural networks—machine learning systems behind the rapid evolution of everything from image and speech recognition to automated translation to robotics…

…says Chris Nicholson, the CEO, and founder of a deep learning startup called Skymind. “Google is trying to do something better than Amazon—and I hope it really is better. That will mean the whole market will start moving faster.”

Funny, I was just thinking that the market is not moving fast enough. I can hardly wait until we have a Skymind.

“Along those lines, Google has already said that it will offer free access to researchers willing to share their research with the world at large. That’s good for the world’s AI researchers. And it’s good for Google.”

Is it good for us?

Note:
This sets up another discussion (in 3 weeks) about a rather absurd opinion piece in WIRED about why we should have an AI as President. These things start out as absurd, but sometimes don’t stay that way.

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Humanity is not always pretty.

The Merriam-Webster online dictionary among several options gives this definition for human: “[…]representative of or susceptible to the sympathies and frailties of human nature human kindness a human weakness.”

Then there is humanity which can either confer either the collective of humans, or “[…]the fact or condition of being human; human nature,” or benevolence as in compassion and understanding. For the latter, it seems that we are the eternal optimists when it comes to describing ourselves. Hence, we often refer to the humanity of man as one of our most redeeming traits. At the same time, if we query human nature we can get, “[…]ordinary human behavior, esp considered as less than perfect.” This is a diplomatic way of acknowledging that flaws are a characteristic of our nature. When we talk about our humanity, we presumptively leave out our propensity for greed, pride, and the other deadly sins. We like to think of ourselves as basically good.

If we are honest with ourselves, however, we know this is not always the case and if we push the issue we would have to acknowledge that this not even the case most of the time. Humanity is primarily driven by the kinds of things we don’t like to see in others but rarely see in ourselves. But this is supposed to be a blog about design and tech, isn’t it? So I should get to the point.

A recent article on the blog site QUARTZ, Sarah Kessler’s article, “Algorithms are failing Facebook. Can humanity save it?” poses an interesting question and one that I’ve raised in the past. We like to think that technology will resolve all of our basic human failings—somehow. Recognizing this, back in 1968 Stewart Brand introduced the first Whole Earth Catalog with,

“We are as gods and might as well get good at it.”

After almost 50 years it seems justified to ask whether we’ve made any improvements whatsoever. The question is pertinent in light of Kessler’s article on the advent of Facebook Live. In this particular FB feature, you stream whatever video you want, and it goes out to the whole world instantly. Of course, we need this, right? And we need this now, right? Of course we do.

Like most of these wiz bang technologies they are designed to attract millennials with, “Wow! Cool.” But it is not a simple task. How would a company like Facebook police the potentially billions of feeds coming into the system? The answer is (as is becoming more the case) AI. Artificial Intelligence. Algorithms will recognize and determine what is and is not acceptable to go streaming out to the world. And apparently, Zuck and company were pretty confident that they could pull this off.

Let’s get this thing online. [Photo: http://wersm.com]

Maybe not. Kessler notes that,

“According to a Wall Street Journal tally, more than 50 acts of violence, including murders, suicides, and sexual assault, have been broadcast over Facebook Live since the feature launched 13 months ago.”

Both articles tell how Facebook’s Mark Zuckerberg put a team on “lockdown” to rush the feature to market. What was the hurry, one might ask? And Kessler does ask.

“Let’s make sure there’s a humanitarian angle. Millennials like that.” [Photo: http://variety.com]

After these 13 months of spurious events, the tipping point came with a particularly heinous act that ended up circulating on FB Live for nearly 24 hours. It involved a 20-year-old Thai man named Wuttisan Wongtalay, who filmed himself flinging his 11-month-old daughter off the side of a building with a noose around her neck. Then, off-camera, he killed himself.

“In a status update on his personal Facebook profile, CEO Mark Zuckerberg, himself the father of a young girl, pledged that the company would, among other things, add 3,000 people to the team that reviews Facebook content for violations of the company’s policies.”

Note that the answer is not to remove the feature until things could be sorted out or to admit that the algorithms are not ready for prime time. The somewhat surprising answer is more humans.

Kessler, quoting the Wall Street Journal article states,

“Facebook, in a civic mindset, could have put a plan in place for monitoring Facebook Live for violence, or waited to launch Facebook Live until the company was confident it could quickly respond to abuse. It could have hired the additional 3,000 human content reviewers in advance.

But Facebook ‘didn’t grasp the gravity of the medium,’ an anonymous source familiar with Facebook’s Live’s development told the Wall Street Journal.”

Algorithms are code that helps machines learn. They look at a lot of data, say pictures of guns, and then they learn to identify what a gun is. They are not particularly good at context. They don’t know, for example, whether your video is, “Hey, look at my new gun?” or “Die, scumbag.”

So in addition to algorithms, Zuck has decided that he will put 3,000 humans on the case. Nevertheless, writes Kessler,

“[…]they can’t solve Facebook’s problems on their own. Facebook’s active users comprise about a quarter of the world’s population and outnumber the combined populations of the US and China. Adding another 3,000 workers to the mix to monitor content simply isn’t going to make a meaningful difference. As Zuckerberg put it during a phone call with investors, “No matter how many people we have on the team, we’ll never be able to look at everything.”[Emphasis mine.]

So, I go back to my original question: We need this, right?

There are two things going on here. First is the matter of Facebook not grasping the gravity of the medium (which I see as inexcusable), and the second is how the whole thing came around full circle. Algorithms are supposed to replace humans. Instead we added 3,000 more jobs. Unfortunately, that wasn’t the plan. But it could have been.

Algorithms are undoubtedly here to stay, but not necessarily for every application and humans are still better at interpreting human intent than machines are. All of this underscores my position from previous blogs, that most companies when the issue is whether they get to or stay on top, will not police themselves. They’ll wait until it breaks and then fix it, or try to. The problem is that as algorithms get increasingly more complicated fixing them gets just as tricky.

People are working on this so that designers can see what went wrong, but the technology is not there yet.

And it is not just so that we can determine the difference between porn and breastfeeding. Algorithms are starting to make a lot of high stakes decisions, like autonomous vehicles, autonomous drones, or autonomous (fill in the blank). Until the people who are literally racing each other to be the first step back and ask the tougher questions, these types of unanticipated consequences will be commonplace, especially when the prudent actions like stop and assess are rarely considered. No one wants to stop and assess.

Kessler says it well,

“The combination may be fleeting—the technology will catch up eventually—but it’s also quite fitting given that so many of the problems Facebook is now confronting, from revenge porn to fake news to Facebook Live murders, are themselves the result of humanity mixing with algorithms.” [Emphasis mine.]

We can’t get past that humanity thing.

 

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Augmented evidence. It’s a logical trajectory.

A few weeks ago I gushed about how my students killed it at a recent guerrilla future enactment on a ubiquitous Augmented Reality (AR) future. Shortly after that, Mark Zuckerberg announced the Facebook AR platform. The AR uses the camera on your smartphone, and according to a recent WIRED article, transforms your smartphone into an AR engine.

Unfortunately, as we all know, (and so does Zuck), the smartphone isn’t currently much of an engine. AR requires a lot of processing, and so does the AI that allows it to recognize the real world so it can layer additional information on top of it. That’s why Facebook (and others), are building their own neural network chips so that the platform doesn’t have to run to the Cloud to access the processing required for Artificial Intelligence (AI). That will inevitably happen which will make the smartphone experience more seamless, but that’s just part the challenge for Facebook.

If you add to that the idea that we become even more dependent on looking at our phones while we are walking or worse, driving, (think Pokemon GO), then this latest announcement is, at best, foreshadowing.

As the WIRED article continues, tech writer Brian Barrett talked to Blair MacIntyre, from Georgia Tech who says,

“The phone has generally sucked for AR because holding it up and looking through it is tiring, awkward, inconvenient, and socially unacceptable,” says MacIntyre. Adding more of it doesn’t solve those issues. It exacerbates them. (The exception might be the social acceptability part; as MacIntyre notes, selfies were awkward until they weren’t.)”

That last part is an especially interesting point. I’ll have to come back to that in another post.

My students did considerable research on exactly this kind of early infancy that technologies undergo on their road to ubiquity. In another WIRED article, even Zuckerberg admitted,

“We all know where we want this to get eventually,” said Zuckerberg in his keynote. “We want glasses, or eventually contact lenses, that look and feel normal, but that let us overlay all kinds of information and digital objects on top of the real world.”

So there you have it. Glasses are the end game, but as my students agreed, contact lenses not so much. Think about it. If you didn’t have to stick a contact lens in your eyeball, you wouldn’t and the idea that they could become ubiquitous (even if you solved the problem of computing inside a wafer thin lens and the myriad of problems with heat, and in-eye-time), they are much farther away, if ever.

Student design team from Ohio State’s Collaborative Studio.

This is why I find my student’s solution so much more elegant and a far more logical trajectory. According to Barrett,

“The optimistic timeline for that sort of tech, though, stretches out to five or 10 years. In the meantime, then, an imperfect solution takes the stage.”

My students locked it down to seven years.

Finally, Zuckerberg made this statement:

“Augmented reality is going to help us mix the digital and physical in all new ways,” said Zuckerberg at F8. “And that’s going to make our physical reality better.”

Except that Zuck’s version of better and mine or yours may not be the same. Exactly what is wrong with reality anyway?

If you want to see the full-blown presentation of what my students produced, you can view it at aughumana.net.

Note: Currently the AugHumana experience is superior on Google Chrome.  If you are a Safari or Firefox purest, you may have to wait for the page to load (up to 2 minutes). We’re working on this. So, just use Chrome this time. We hope to have it fixed soon.

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Heady stuff.

Last week we talked about how some researchers and scientists on the cutting edge are devising guidelines to attempt to ensure that potentially transformative technologies (like AI) remain safe and beneficial, rather than becoming a threat to humanity. And then, there were industries (like nanotech) that have already blown past any attempt at a meaningful review and now exist in thousands of consumer products, and nobody knows if their safe and the companies who produce them don’t even have to tell us they are part of the composition.

This week I’m going to talk about why I look askance at transformative technologies. Maybe it is because I am a writer at heart. Fiction, specifically science fiction, has captured my attention since childhood. It is my genre of choice. Now that nearly all of the science-based science fiction is no longer fiction, our tendency is to think that the only thing left to do is react or adapt. I can understand this since you can’t isolate a single technology as a thing, you can’t identify precisely from where it started, or how it morphed into what it is. Technologies converge, and they become systems, and systems are dauntingly complex. As humans, we create things that become systems. Even in non-digital times, the railroad ushered in a vastly complex system so much so that we had to invent other things just to deal with it, like a clock. What good was a train if it wasn’t on time? And what good was your time if it wasn’t the same as my time?

Fast forward. Does the clock have any behavioral effect in your life?

My oft-quoted scholars at ASU, Allenby, and Sarewitz see things like trains as level one technologies. They spawn systems in the level two realm that are often far more intricate than figuring out how to get this train contraption to run on rails across the United States.

So the nature of convergence and the resulting complexity of systems is one reason for my wariness of transformative tech.Especially now, that we are building things and we don’t understand how they work. We are inventing things that don’t need us to teach them, and that means that we can’t be sure what they are learning or how. If we can barely understand the complexity of the system that has grown up around the airline industry (which we at one time inherently grasped), how are we going to understand systems that spring up around these inventions that, at the core, we know what they do, but don’t know how?

The second reason is human nature. Your basic web dictionary defines the sociology of human nature as: “[…]the character of human conduct, generally regarded as produced by living in primary groups.” Appreciating things like love and compassion, music and art, consciousness, thought, languages and memory are characteristics of human nature. So are evil and vice, violence and hatred, the quest for power and greed. The latter have a tendency to undermine our inventions for good. Sometimes they are our downfall.

With history as our teacher, if we go blindly forward paying little attention to reason one, the complexity of systems, or reason two, the potential for bad actors, or both, that does not bode well.

I’ve been rambling a bit, so I have to wrap this up. I’ve taken a long way around to say that if you are among those who look at all this tech, and the unimaginable scope of the systems we have created and that the only thing left to do is react or adapt, that this is not the case.

While I can see the dark cloud behind every silver lining, it enables me to bring an umbrella on occasion.

Paying attention to the seemingly benign and insisting on a meaningful review of that which we don’t fully understand is the first step. It may seem as though it will be easier to adapt, but I don’t think so.

I guess that’s the reason behind this blog, behind my graphic novel, and my ongoing research and activism through design fiction. If you’re not paying attention, then I’ll remind you.

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The right thing to do. Remember that idea?

I’ve been detecting some blowback recently regarding all the attention surrounding emerging AI, it’s near-term effect on jobs, and it’s long-term impact on humanity. Having an anticipatory mindset toward artificial intelligence is just the logical thing to do. As I have said before, designing a car without a braking system would be foolish. Anticipating the eventuality that you might need to slow down or stop the car is just good design. Nevertheless, there are a lot of people, important people in positions of power that think this is a lot of hooey. They must think that human ingenuity will address any unforeseen circumstances, that science is always benevolent, that stuff like AI is “a long way off,” that the benefits outweigh the downsides, and that all people are basically good. Disappointed I am that this includes our Treasury Secretary Steve Mnuchin. WIRED carried the story and so did my go-to futurist Amy Webb. In her newsletter Amy states,

“When asked about the future of artificial intelligence, automation and the workforce at an Axios event, this was Mnuchin’s reply: ‘It’s not even on our radar screen,’ he said, adding that significant workforce disruption due to AI is ‘50 to 100’ years away. ‘I’m not worried at all’”

Sigh! I don’t care what side of the aisle you’re on, that’s just plain naive. Turning a blind eye to potentially transformative technologies is also dangerous. Others are skeptical of any regulation (perhaps rightly so) that stifles innovation and progress. But safeguards and guidelines are not that. They are well-considered recommendations that are designed to protect while facilitating research and exploration. On the other side of the coin, they are also not laws, which means that if you don’t want to or don’t care to, you don’t have to follow them.

Nevertheless, I was pleased to see a relatively comprehensive set of AI principles that emerged from the Asilomar Conference that I blogged about a couple of weeks ago. The 2017 Asilomar conference organized by The Future of Life Institute,

“…brought together an amazing group of AI researchers from academia and industry, and thought leaders in economics, law, ethics, and philosophy for five days dedicated to beneficial AI.”

The gathering generated the Asilomar AI Principles, a remarkable first step on the eve of an awesome technological power. None of these people, from the panel I highlighted in the last blog, are anxious for regulation, but at the same time, they are aware of the enormous potential for bad actors to undermine whatever beneficial aspects of the technology might surface. Despite my misgivings, an AGI is inevitable. Someone is going to build it, and someone else will find a way to misuse it.

There are plenty more technologies that pose questions. One is nanotechnology. Unlike AI, Hollywood doesn’t spend much time painting nanotechnological dystopias, perhaps that along with the fact that they’re invisible to the naked eye, lets the little critters slip under the radar. While researching a paper for another purpose, I decided to look into nanotechnology to see what kinds of safeguards and guidelines are in place to deal with that rapidly emerging technology. There are clearly best practices by reputable researchers, scientists, and R&D departments but it was especially disturbing to find out that none of these are mandates. Especially since there are thousands of consumer products that use nanotechnology including food, cosmetics, clothing, electronics, and more. A nanometer is very small. Nanotech concerns itself with creations that exist in the 100nm range and below, roughly 7,500 times smaller than a human hair. In the Moore’s Law race, nanothings are the next frontier in cramming data onto a computer chip, or implanting them into our brains or living cells. However, due to their size, nanoparticles can also be inhaled, absorbed into the skin, flushed into the water supply and leeched into the soil. We don’t know what happens if we aggregate a large number of nanoparticles or differing combinations of nanoparticles in our body. We don’t even know how to test for it. And, get ready. Currently, there are no regulations. That means manufacturers do not need to disclose it, and there are no laws to protect the people who work with it. Herein, we have a classic example of bad decisions in the present that make for worse futures. Imagine the opposite: Anticipation of what could go wrong and sound industry intervention at a scale that pre-empts government intervention or the dystopian scenarios that the naysayers claim are impossible.

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