Automation vs. Jobs: The Long and the Short of It.

This chapter appears concurrently in Age of Robots and includes content and quotes garnered from interviews with James J. Hughes, Jerome Glenn, Ian Pearson, Richard Yonck, John C. Havens and Alexandra Whittington on the Seeking Delphi™ podcast between April of 2017 and November of 2018. **

 “There are no right answers to wrong questions.”—Ursula K. LeGuin

Will automation kill jobs?  That’s not exactly the wrong question, but it is an incomplete one.  Which automation—robots, computers, A.I.?  Which industries?  And most important, in what time frame? The next five years are particularly fuzzy; things are simply changing too fast to tell.

Some History

On the eve of the iconic year of 1984, Isaac Asimov published an article envisioning the society of 2019.1 He foresaw a world where computerization and robots would change the world of work, and computer literacy would be vital for the jobs of the future.  He was right.

On the other hand, he conjectured that the transition to a more automated workplace would be largely complete by 2019.  He was clearly wrong.  The extent of the uncertainty and the varied nature of the many feasible scenarios indicate that the transition, if anything, is far from over.  We still don’t know the outcome;  but the next five years may bring us closer to knowing some answers.  Even then, though, we still might find much uncertainty.  Rapid change and disruption could become a permanent state.

Technological change has become so rapid—and to some extent chaotic–that even futurists feel challenged in ways they never have before.  Consider these words from James J. Hughes, executive director and co-founder of The Institute for Ethics in Emerging Technology:

“We’ve had the general experience over the past ten years that It’s hard to be a futurist nowadays.  You think up something that you think is going to be, for five or ten years, an issue that you’ll be able to be the only person talking about it.  Two weeks later it’s in the White House or in the European parliament being debated.” **

If futurists can’t keep up with it, how can the rest of us?

The Hype

The popular media, in its never-ending quest for click bait, greatly oversimplifies the questions.  This is particularly true of artificial intelligence and job loss.

“What we hear about [it] is mainly hype,” says Alexandra Whittington, Foresight Director of Fast Future Publishing. **

Jerome Glenn, chair of The Millennium Project and lead author on their State of The Future publications, points out that it is important to distinguish between types of A.I.  The narrow A.I. we currently have generally is focused on a single task, like playing chess or arranging airline schedules.  Human-like artificial general intelligence could be a much broader threat, but we have no idea when, or even if it will ever be achieved.  So, near term, he sees the less disruptive narrow A.I. as all that is on the table. **

The current flap over automation job reduction probably started with a 2013 report by the Oxford Martin School at Oxford University, entitled The Future of Employment: How Susceptible are Jobs to Computerization.2 Supported by mountains of statistics and advanced mathematical formulas, they came up with the assertion that 47% of all U.S. jobs are highly susceptible to being automated, and therefore eliminated.  That was only the beginning.

Following a 2017 report by McKinsey that 800 million jobs globally could be affected by automation by 2030, a torrent of gloom and doom articles appeared in the mass media.  Just consider some of these:

  • Automation could destroy millions of jobsThe Guardian, August 2018
  • America is unprepared for the job apocalypse automation will bringCBS News, June 2018
  • Will robots take your job? Humans ignore the coming A.I. revolution at their peril—NBC News, February 2018
  • One million jobs will disappear by 2026. How to prepare for an automation future—CNBC, February 2018.

Emotional, knee-jerk reaction to the headlines has led to what could be characterized as a kind of neo-Luddism.

Like the early 18th century efforts  by weavers to destroy automated weaving looms and by horse breeders to block the proliferation of steam powered “horseless carriages,” there have sprung up various efforts to block technology today.  Consider, then, these headlines:

  • Professional Taxi Drivers In New York Want Self-Driving Cars Banned for 50 Years—Yahoo.com, January 2017
  • The Beef Industry is Desperately Fighting Lab-Grown Meats Over Labeling—Uproxx.com, February 2018

But there have also appeared many rebuttals to the doom and gloom scenarios, and one does have to drill down in these reports to fully in understand what might be going on.   The devil is most certainly in the details.

So, what exactly did McKinsey say?  It’s less stark than immediately meets the eye.  While over half of all existing workers could have up to a third of their functions automated, they also said only 5% of current jobs are fully replaceable by automation.  At least for now.  They further made projections of millions of jobs created by A.I. and robotics and suggested that only between 3 and 14% of all workers will need to find new occupations by 2030.3

Clearly, it is only certain jobs in certain industries that are likely to disappear in the near term.  And while cattle breeder and taxi driver are two occupations eventually in peril, it may already be too late to save the latter.  Uber and Lyft are seeing to that.

Historically, the ultimate technological demise of many industries has simply resulted in job creation in new industries; often many more jobs then were lost.  The loss of most jobs for horse breeding in the early 20th century led to creation of many more in automotive manufacturing, maintenance,  professional driving, and the petroleum industry.

But people have short memeories, and the speed and pervasiveness threatened currently by multiple disruptive technologies will likely dwarf anything seen in the past.

Hughes sees the push back against technology in these terms:

“Trump says he is going to bring back all these jobs, but he has never dealt with the impact of automation in the erosion of industrial jobs.  Luddism makes sense if there is no vision of how everyone gets fed and how we can have a good society without traditional jobs”. **

The Optimist

One optimist is noted British futurist and author Ian Pearson.  Writing in his Futurizen blog in March of 2017, Pearson states:

AI has been getting a lot of bad press the last few months from doom-mongers predicting mass unemployment. Together with robotics, AI will certainly help automate a lot of jobs, but it will also create many more and will greatly increase quality of life for most people.4

How can he be so sanguine in opposition to the torrent of doom and gloom saying in the popular press?  He asserts that there is a lot of counterbalance that is being ignored in the press and sees three main areas of robotic and A.I. job creation.

These include, first, the need to program and maintain robots and A.I “Even with industrial robots you need a skilled workman on the factory floor showing them what to do,” he says.  But industrial robots are a lot easier to program than more general-purpose artificial intelligence, which he compares to the complexities of teaching children.  He believes that, though this won’t last forever, it will get us quite a few decades of extra jobs.

A second area is in jobs where what he terms “emotional repertoire” is required.  In things like interacting with patients and maintaining customer relationships, A.I. can only do so much.  “It can’t pick up body language or facial expressions and can’t tell whether you’re lying or exaggerating. Having a nurse or a technician between you and the AI can allow you to give far more detail to that program.”  He also suggests that people won’t open up to a computer program or robot in the same manner that they might to another human being. “The human forces you to be more open and honest about whatever it is you are doing.

Third, he believes A.I. and other forms of automation will aide entrepreneurship.

“I think a lot of us would be an entrepreneur if it wasn’t so difficult,” he says.  He sees setting up a small company as a daunting task with tons of red tape, which can easily be farmed out to A.I., as long with handling logistics of manufacturing and shipping.  Adding artificial intelligence to a green employee, and you “upskill” them as he says, and makes them a more useful employee.**

The fly in all this ointment is the emergence of emotional A.I., or affective computing.  Richard Yonck is a futurist author who has written on the subject, and to some extent warns that A.I. that can read, and react appropriately, to human emotion, might threaten even the jobs that Pearson described.

Pearson does not entirely disagree with him. He thinks that Yonck is talking about a different time horizen than he is.   He sees A.I. able to do just about everything humans can do, and then some, by around 2050.  But in the near term of just a few years, he still sees it as a more stimulative technology.

The Skeptic—

Richard Yonck (author, Heart of the Machine)  puts himself somewhere in between Pearson and the more pessimistic doomsayers in the foresight and economics communities.

In a 2017 interview he stated:

I think it will have a strong impact but probably not as severe as some of the prognostications. Automation, computerization A.I. and so forth.  But we saw from the great recession we don’t need to have 46 per cent of jobs to go away to have an enormous impact.  It’s true there are going to be new jobs and new value, and additional value placed on human emotional capabilities.  I half agree there will be a number of new jobs that arise out of qualities that are distinctly human in whatever role. Nursing, teaching, psychotherapy, roles where we have a level of emotional connection that machines simply cannot or will not have for a good few decades.  But I question whether that could offset all of the losses. **

Conclusions

So where do we go from here? It’s complicated.

Almost to a person, the pundits quoted above look at Universal Basic Income as a solution to mass technological unemployment.

Hughes puts it this way:

“We have been advocating for the importance of grappling with technological unemployment and advocating for universal basic income guarantee.  That’s now become mainstream. We need to be able to make that deal with the public. Yes, lots of people are going to lose their jobs, but we’re going to get all this cool stuff and we’re going to make sure that everyone gets fed and everyone’s going to have an income. Folks don’t really believe it yet, they don’t see the politics. “**

Another possible solution—attitudinal, rather than socialistic—comes from Heartificial Intelligence author John C. Havens.  He sees that the currently dominant economic model in the West as a roadblock to preventing  automation job loss. He thinks that it makes no sense to have all these fantastic, disruptive technologies but still be living in an economic system based on GDP developed in 1944.

”It’s absurd not to bring societal infrastructure up to the level of technology.” He says and cites a possible solution in adopting what is called the triple bottom line, emphasizing not only growth and profitability, but also human and environmental well being. **

But again, one must ask oneself, is there any likelihood of the politics and economics being there for either of these solutions—at least in the short term?

The silver lining in the cloud, at least for the next few years, is that only a few select professions in a few industries are in danger of disappearing entirely.  While taxi drivers are under assault from ride sharing, the autonomous-driving demise of all professional taxi and truck drivers appears much farther out.

The stark fact, as of this writing, is that much of the West is experiencing labor shortages.  Even China is facing a shortfall of over 20 million skilled tech workers in the next few years.5    In the near term, labor shortages, rather than profits, may drive the proliferation of automation.

The verdict, then, is that we have not achieved the new equilibrium that Asimov envisioned by now.  Change has accelerated but is nowhere near complete.  We don’t now know for sure where it all will lead; we might have a better idea in five years.

Questions:

Which jobs in which industries and in what timeframe are most likely to be transformed or completely displaced by technology?

Will automation deployment be accelerated as a short-term solution to skilled labor shortages?

How should society deal with job loss due to automation?

**Sackler, M. (2017-2018). Seeking Delphi™.  from https://seekingdelphi.com/podcasts/

  1. Asimov, I. (2019). 35 years ago, Isaac Asimov was asked by the Star to predict the world of 2019 Here is what he wrote.   https://www.thestar.com/news/world/2018/12/27/35-years-ago-isaac-asimov-was-asked-by-the-star-to-predict-the-world-of-2019-here-is-what-he-wrote.html
  2. (2019). Oxacuk.   https://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf
  3. Mckinsey, . (2017). Jobs lost, jobs gained: What the future of work will mean for jobs, skills, and wages.  https://www.mckinsey.com/featured-insights/future-of-work/jobs-lost-jobs-gained-what-the-future-of-work-will-mean-for-jobs-skills-and-wages
  4. Pearson, I.D. (2017). The more accurate guide to the future.   https://timeguide.wordpress.com/2017/03/26/ai-is-mainly-a-stimulative-technology-that-will-create-jobs/
  5. People’s daily. (2019). China to see shortage of 22 million high-end technical workers by 2020.  http://en.people.cn/n3/2019/0115/c90000-9537759.html

You can subscribe to Seeking Delphi™ on Apple Podcasts, PlayerFM, MyTuner,  Listen Notes, and YouTube You can also follow us on Facebook and on twitter @Seeking_Delphi

News of the Future This Week, March 21, 2018

“It’s not going to do any good to land on Mars if we’re stupid.”–Ray Bradbury

“You cannot be serious.”–John McEnroe

Is Vladimir Putin serious?  He’s really going to put Russians on the moon by next year?  Live Russians? Human Russians?  Russian manikins, maybe.  Or how about those nested Russian dolls?  I have my hunches about his obvious hyperbole.  Like maybe he’s goading a certain Western leader I won’t name to take it seriously and go broke trying to compete with him. All the while what he’s really doing is focusing his resources on hacking democracy and wreaking havoc.

While you’re reading about all this week’s future-related  news, don’t forget that you can subscribe to Seeking Delphi™ podcasts on iTunes, PlayerFM, or YouTube (audio with slide show) and you can also follow us on Twitter and Facebook 

Matryoshka dolls. Send these to Mars?

Space Exploration– Yes, according to Futurism.com, Vladimir Putin did say that he intends to send both manned and unmanned missions to Mars, possibly as soon as next year.  This timetable is a full 5 years ahead of SpaceX’s most optimistic scenario. He might have his work cut out for him.  The Russian space agency has not attempted to reach beyond earth’s gravity well since a 2011 launch failed and fell out of orbit.

–Next Big Future reports on the progress–and relative merits–of AD-Astra’s  VX200SSTM VASIMR® prototype  space propulsion engine.  Recent test firings have brought them one step closer to enabling earth to mars transit in as little as 4 to 6 weeks.  SpaceX, with its BFR, has aims at making the transit at similar speeds.

Quantum Computing–IBM released it’s 5 in 5 list–five inovations that will change our lives in five years.  Most notably they, predicted that quantum computing will be mainstream within five years.  If you listened to my podcast with whurley from SXSW 2018, you’d know that enabling broad use of quantum computing is exactly what he’s aiming for with his new company, Strangeworks (YouTube link below).

Quantum Computing featuring whurley, recorded March 12, 2018 at SXSW, Austin, TX

Age of Robots reported on the marriage of quantum computing with biological data.  Specifically, researchers at USC have demonstrated how a quantum processor could effectively predict certain processes in the human genome.

3D printing-A vehicle its maker says will be the first mass-produced, 3D-printed car, is slated for availability in 2019.   With a price tag of less than $10,000, but with a single-charge range of only 90 miles at a maximum speed of 45mph, it might seem more like a golf cart on steroids than a real car.  Dr. Paul Tinari talked about 3D-printed cars in Seeking Delphi™ podcast #7 in March of 2017.

Dr. Paul Tinari on 3D printing cars, homes and–good grief–even human beings. Seeking Delphi™ podcast #7, from March 2017

Self-Driving Cars–In the wake of the Tempe, Arizona pedestrian fatality involving an Uber self-driving car, the New York Times published this guide to how self-driving cars sense the world.

Google-modified Lexus. Source: Google

 

Up next:  one final special edition mini-cast out of SXSW.  Exteme Bionics: The Future of Human Ability.

A reminder that the Seeking Delphi™ podcast is available on iTunesPlayerFM, blubrry , and has a channel on YouTube.  You can also follow us onTwitter and Facebook.

Age of Robots Preview: Ending Aging, with Aubrey de Grey

If you missed my Seeking Delphi™ podcast episode #19 with Aubrey de Grey–or found Aubrey’s accent difficult to follow–here is a preview version of the cover story of the January Age of Robots magazine featuring the very same interview.  You can get the full article–and issue–at https://www.neurorobot

ENDING AGING

Ending Aging

ENDING AGING

AN INTERVIEW WITH AUBREY DE GREY

BY MARK SACKLER

Looking at Aubrey de Grey for the first time, his long bushy brown whiskers and sage countenance might remind you of Methuselah. How appropriate. That look is probably intentional. Though he originally trained in artificial intelligence, he has emerged as one of the world’s leading researchers in the field of human biological rejuvenation.

In fact, he founded the Methuselah Foundation in 2004 to endow human aging and rejuvenation research. He followed that up by authoring Ending Aging, The Rejuvenation Breakthroughs That Could Reverse Aging in Our Lifetime in 2008, and co-founding the SENS Foundation a year later. SENS, which stands for Strategies for Engineered Negligible Senescence, is a non-profit organization that researches the science of aging and possible means to reverse it. He serves as its chief science officer.

In Ending Aging, de Grey cited 7 types of intra- and extra-cellular damage that accumulate in the human body as it ages. Nine years later, he still sees those same 7 as the critical issues in understanding—and eventually reversing—human aging. But two significant things have changed in the ten years since he published that volume.

First, research into human biological rejuvenation has moved into the mainstream of research from the fringes. Any number of for-profit biotech ventures have started up, a longevity venture fund has received backing from some of the top names in Silicon Valley, and even some clinical trials are on the cusp of launching. The SENS Foundation itself has received backing from the likes of Peter Thiel and Ray Kurzweil.

Second, the emergence of breakthrough genetic editing techniques, such as CRISPR/Cas9, have pointed the way to accelerated progress in developing age-reversing genetic therapy. At least two individuals have tested genetic therapies on themselves within the past two years, both with initially promising results.

I spoke with de Grey recently in an interview for my Seeking Delphi™ podcast, regarding progress since the 2008 book, and the current state of the anti-aging art.

Mark Sackler: You wrote the book Ending Aging in 2008. You identified seven areas of cellular and intracellular damage that you think need to be reversed as the best process for reversing aging. In the nine years since you wrote that book, what has changed? Are we where you thought we’d be by now? Have there been any breakthroughs?

Aubrey de Grey: People often ask me, “When are you going to write a new book—when are you going to update Ending Aging?” It’s not a priority right now. It could easily be presumed to be saying that it’s not my priority simply because I haven’t made much progress and there’s not much to say. But it’s just the opposite of that—there’s been massive progress, but it’s been pretty much exactly the progress that we were predicting in the book. So essentially the plan is the same 7 points. There’s no problem number 8 or 9 that came along and had to be added.

“There have been some surprises, but they have all been good surprises in the form of innovative technologies­—new discoveries that have allowed us to pursue the same approaches but more effectively and more rapidly than we otherwise thought.”

And furthermore, the solutions that we discussed in the book are still the same solutions. There’s nothing that has come along that has made us have to revisit it and say, well, OK, the approach that we thought was going to be the right way to go is actually much harder than we had expected and therefore we need something else­­—none of that has happened. There have been some surprises, but they have all been good surprises in the form of innovative technologies­—new discoveries that have allowed us to pursue the same approaches but more effectively and more rapidly than we otherwise thought. Now there is one downside, though, which I also want to deal with here. Which is, back then—in fact a couple of years before I wrote that book in 2004—I started making predictions about the time frames of how long this will all take. And of course, I was always making a lot of caveats emphasizing that a prediction of time frames was very speculative for any pioneer in technology. However, the fact is we haven’t hit the time frames I was saying that we would.
I said there was a 50–50 probability of reaching a milestone that I specified and that I named robust mouse rejuvenation within 10 years—from that point of around 2004. And so that’s what’s gone wrong. But what’s gone wrong is not the science, but something else. The answer is the money. The fact is that my predictions were always very strongly conditional on the ability to bring in funding that was sufficient so that the rate of progress would only be limited by the sheer difficulty of the technology, the actual science and practice. I believe we’ve been going along three times more slowly than that initial prediction simply because it’s been so much more difficult than I had expected to attract sufficient funding.

Mark Sackler: You mentioned robust mouse rejuvenation as one of the key milestones along the road to reversing human aging. I’ve read some stories lately that some scientists have claimed to slow or create some minor rejuvenation in mice. Obviously, it’s not what you define as robust. So how do you define it?

Aubrey de Grey: I have defined robust mouse rejuvenation to be taking mice that are already in middle age, before anything has been done to them, and doubling or trebling their remaining time. What that means is you take normal adult mice, with no preexisting problem or had any prior therapy applied to them­­—you want those mice when they’re already two years old and you have done nothing to pharmacological and nothing genetic to them—that would typically live an average of three years (that’s on the long side for mice). And then you throw a whole bunch of interventions at them to turn their last year into three. That’s the definition that I gave to robust mass rejuvenation. Now the things that have been happening recently have been exciting but they’re definitely not doing robust mass rejuvenation at the moment. We still can’t extend the lifespan of mice by more than a couple of months by interventions that are initiated at two years of age.

Mark Sackler: There’s a second critical milestone you cite, that’s LEV, or longevity escape velocity. So obviously we’re nowhere near that. But what is it, and how far away are we from getting there?

Aubrey de Grey: First, let me summarize the definition —it all arises from the fact that progress buys time when you are doing rejuvenation. In other words let’s talk about humans: If we were to take someone who was 60 years old, let’s suppose, and at some point in the future we were at the stage of rejuvenation technology whereby we could buy people 30 additional years of life—so that we would take them and throw a whole bunch of therapy at them that would rejuvenate them reasonably well so that they would become biologically sexy again until they were chronologically 90—if we could do that, then the reason why they would become biologically 60 again at all is because the therapies are imperfect. There will be a huge number of different types of damage that happen that fall into the 7 categories; some of them are just more difficult to manage than others.

So, we end up mending the easy stuff. And we can do that as often as we like. But eventually the initial therapies don’t work, and damage will accumulate to the point where damage is again the same as at 60 years. But because you have those 30 years way before you got to be biologically 60 for the second time, you’ve had time to improve the therapies.

“The definition of longevity escape velocity is simply the minimum rate which we need to improve the comprehensiveness of the therapies to stay one step ahead of the problem.”

And improving means improving the comprehensiveness. It means getting to a point where you can fix some of the difficult damage. Maybe you’ll never be able to effect repair on 100% of the damage, but you’ll be able to fix some of it, which means you will be able to rejuvenate the same people with what we might call SENS 2.0. Perhaps by the time this rejuvenation decays to be biologically 60 a third time, they’ll actually be 150. And so on. The definition of longevity escape velocity is simply the minimum rate which we need to improve the comprehensiveness of the therapies to stay one step ahead of the problem. And longevity escape velocity turns out to be a trivial thing to maintain. The rate of progress that we’re talking about here is minute as compared to the rate of progress that we always see in other technologies historically after the initial breakthrough that solves the fundamental problem. So, the uncertainty of time frames consists entirely of the question of how soon we will reach SENS 1.0. Soon will we do that, and originally my time frame over the past 13 years since I started talking about it has come down only by about 5 years, which is sad, but the reason again is entirely because of a lack of funding.

Mark Sackler: What about using pharmaceuticals or supplements to slow the aging process—to buy more time before we reach SENS 1.0? There are several agents out there now. Metformin is about to go into human clinical trials, Rapamycin is in trials with dogs, and NAD+ supplements are all the rage right now. What’s your take on all of this?

Aubrey de Grey: So I’m all for this work. I think that it’s very valuable in helping people to stay healthy longer. However, there is a very important feature of all of these supplements which is very often swept under the carpet by the researchers and companies that are working on them. They’re all hypothesized to work by calorie restriction memetics. In other words, drugs that trick the body into thinking it’s not getting as many calories as it would like, even though it is getting them. The reason such drugs are so interesting is because 80 years ago it was established that if you feed, say, a mouse or a rat less than it would, like then, it will live longer than it would otherwise live.

And that’s a really important result. And by the 1970s it had become the single most studied phenomenon in the whole of gerontology—and it continues to be. But not eating as much as you would like is not fun. So, if one could develop the drugs that mimic this effect, then you’ve got the best of both worlds: you’ve got the longevity extension and you also don’t have the hunger. So that’s wonderful. Except that there’s a huge catch, and it has been a totally incontrovertible message in the animal data for decades. It is a fairly scandalous thing that has been swept under the carpet.

The problem is that different species respond by different degrees to this kind of restriction. Specifically, long-lived species respond less than a short-lived species. The world record for how much you can extend the life of a nematode worm that normally lives about three weeks is by a factor of five. But then if you go up and look at organisms that live a couple of years, like mice, you can only get a factor of one and a half. That’s still very impressive but it’s definitely not five. But unfortunately, this trend persists as you go higher up the chain.

For example, about 20 years ago you’re in a very thorough and rigorous trial made with Labrador dogs, which normally live about 11 years, and on the whole, it resulted in only about a 10% increase in lifespan. And over the past 20 odd years, two groups in the US have performed extraordinarily expensive and time-consuming experiments of calorie restriction on monkeys, and depending on how you interpret that, it yielded maybe a couple of percent increase. So, the prognosis for humans is not terribly good.

Now again I want to emphasize I’m fine with the fact that people are excited by these drugs, because they do seem to keep people healthy; they are protective, but it is critical not to make the extrapolation that they are the foundation to extending life—because in no way has that happened. We want to pay proper attention and give proper priority to the stuff that will really works.

Mark Sackler: One of the hottest biotech topics lately has been genetic editing, and there have been at least two individuals who recently had genetic editing therapy performed on themselves. They are Elizabeth Parrish, CEO of Bioviva, and Brian Hanley, who has his own one-man biotech operation. I wonder what you make of those two efforts.

But there are things that CRISPR can’t do—specifically it can’t insert new genes into the genome, and we actually have a very important project that is designed to get around that limitation.”

Aubrey de Grey: Well, first let me talk about gene targeting in general. CRISPR is a fantastic breakthrough. When I was talking at the beginning about the surprises that we’d had, that’s probably the single biggest one—because the fact is that before it came along, there was very little that we could do to change genes. We had methods for gene targeting, for modifying the genome, but they were very laborious and expensive, and it didn’t seem they were going to become any less so. So CRISPR was a huge revelation. But there are things that CRISPR can’t do—specifically it can’t insert new genes into the genome, and we actually have a very important project that is designed to get around that limitation. But yes, basically we can do genetic editing with CRISPR more easily and cheaply and it is getting better all the time—getting more high fidelity and so on.

Now as for self-experimentation—what Liz and Brian have done—one can look at it in a whole bunch of ways. First, one can be curmudgeonly about it and say, well okay, this is very unsafe. God knows what’s going to happen if bad things happen if these people die as a result of that therapy; it is going to set back the whole field to a large degree.

That’s all true up to a point. But at the same time, we have to remember that self-experimentation is not new. It has a long and very distinguished history in biology. JBS Haldane, the distinguished and respected British biologist from the 1930s, was rather famous for doing things to himself that I certainly wouldn’t dare to. So we have to acknowledge that it’s double edged. Certainly, the scientific information that will come from this sort of experimentation effort is probably very limited, simply by the fact that it is a sample size of 1. But on the other hand, the high-profile news that arises and the fact that people are talking about what is happening and a discussion is actually occurring, has its own value. If people are not interested in something, it’s very hard to get them to think about it, whereas if they are interested, even for an unusual and rather tangential reason, you can educate them. In a sense, people like Liz and Brian are helping me.

Mark Sackler: Earlier this year I interviewed David Wood of the London Futurists on his book The Abolition of Aging. You may be familiar with it, since he did mention you more than once in the book. In it he forecast that by 2040 there is a 50–50 chance of there being widely available affordable rejuvenation therapy. How do you feel about that forecast right now? Is it overly optimistic? Is it well within reach if there’s enough money, or is it totally uncertain?

Aubrey de Grey: It’s pretty much exactly the same as my prediction. That may not be a coincidence.


Aubrey de Grey Biography
Dr. Aubrey de Grey is a biomedical gerontologist based in Cambridge, UK and Mountain View, California, USA, and is the Chief Science Officer of SENS Research Foundation, a California-based 501(c)(3) charity dedicated to combatting the aging process. He is also Editor-in-Chief of Rejuvenation Research, the world’s highest-impact peer-reviewed journal focused on intervention in aging. He received his BA and PhD from the University of Cambridge in 1985 and 2000 respectively. His original field was computer science, and he did research in the private sector for six years in the area of software verification before switching to biogerontology in the mid-1990s.

His research interests encompass the characterisation of all the accumulating and eventually pathogenic molecular and cellular side-effects of metabolism (“damage”) that constitute mammalian aging and the design of interventions to repair and/or obviate that damage. He has developed a possibly comprehensive plan for such repair, termed Strategies for Engineered Negligible Senescence (SENS), which breaks aging down into seven major classes of damage and identifies detailed approaches to addressing each one. A key aspect of SENS is that it can potentially extend healthy lifespan without limit, even though these repair processes will probably never be perfect, as the repair only needs to approach perfection rapidly enough to keep the overall level of damage below pathogenic levels. Dr. de Grey has termed this required rate of improvement of repair therapies “longevity escape velocity”. Dr. de Grey is a Fellow of both the Gerontological Society of America and the American Aging Association, and sits on the editorial and scientific advisory boards of numerous journals and organisations.


Postscript
This has been an excerpt from Ending Aging in the January-February 2018 issue of Age of Robots. In the next issue of Age of Robots, part two of this article will feature an interview with the first person ever to have genetic age reversal therapy procedures tested on herself, Bioviva CEO Elizabeth Parrish.

The complete audio podcast of my interview with Aubrey de Grey is available at https://seekingdelphi.com/2017/12/13/podcast-19-ending-aging-with-aubrey-de-grey/ and on iTunes and PlayerFM.

%d bloggers like this: