May 18, 2016
Photo Credit: The Matrix © 1999 Warner Bros.
The Fidelity Gap
Today the distinction between authentic sensory experiences and the synthesized experiences produced by memory, visualization (i.e. our mind’s eye), and computer simulations is clear. The fidelity of real-world sensory stimuli is incomparably vivid.
But this will not be true for much longer. Sometime later this century computing technologies will almost certainly close the fidelity gap, meaning that they will be capable of rendering totally compelling simulated realities like The Matrix as well as allow us to capture and recall perfect memories of any experiences we have – whether real, imagined, or simulated.
Science and science fiction alike have examined some of the problems this might create. But there a number of potential benefits as well, and they have so far received much less attention than they are due.
Mo VR Mo Problems?
One potential downside of closing the fidelity gap stems from the fact that we human beings are, at least in part, motivated by the differences between “authentic” experiences based on sensory stimuli and “synthetic” experiences that are either remembered, visualized, or artificially simulated. In other words, one reason we get out of bed in the morning is because nothing in our heads or on a screen compares to the real world. Yet.
But what happens when technology makes remembered, visualized, and simulated experiences just as vivid – or more vivid – than the real thing? In the relatively near future computing technology is almost certainly going to eliminate the fidelity gap for memory (via artificial total recall) as well as for both visualization and simulation (via fully immersive virtual reality).
In some scenarios, individuals become lost, trapped, or simply addicted to virtual reality. In other scenarios, entire civilizations retreat into virtual reality. The underlying cautionary theme is to beware the consequences of allowing virtual reality to become so captivating and rich that it offers more utility (variety, pleasure, control, etc.) than the real world.
Another potential downside is that the same technologies that enable us to close the fidelity gap will necessarily enable mind-reading as well, and so threats of abuse and oppression stemming from invasions of privacy are cause for serious concern.
This is well-trodden ground, so I won’t rehash the details here.
Virtual Reality, Real Opportunities
The potential benefits of closing the fidelity gap have received less attention, so let me highlight them in several broad categories.
February 26, 2016
I am an environmental social scientist by training, and over the last several years I have developed a rather unconventional set of views about the future of nature. The more I have examined and considered the environmental implications of technological change myself, the more I have come to realize how poorly these implications seem to be understood or even recognized by others across the environmental disciplines.
In short, I have learned that we are likely to see the arrival of technologies within just a few decades that to uninformed observers might seem to still lie centuries or millennia away. Science fiction, in other words, will become science fact far sooner than most of my colleagues would dare imagine. And on the whole the implications for the environment are not just extraordinary, but extraordinarily positive: problems that seem utterly intractable today may become solvable in the relatively near future.
Unfortunately, the blindness of the environmental disciplines to the tsunami of radically disruptive technological change barreling toward us is a pristine example of how otherwise highly-educated and intelligent people can arrive with gross overconfidence at spectacularly false conclusions when their reasoning is based on bad information or invalid assumptions.
I am very deeply concerned about this state of affairs because imminent technological change raises a wide range of environmental policy, planning, and ethics questions that I think we must begin to examine very carefully.
So to be clear, let me summarize my line of reasoning here at the outset:
- Technological change is accelerating, and is being compounded most especially by advances in computing.
- The implications of technological change over the course of this century are staggering.
- Technologies that seem thousands of years away to uninformed observers actually lie only a few decades ahead.
- Intelligent machine labor in particular is going to be a fundamental game-changer, but miniaturization and biotech will be a big deal too.
- The implications have the potential to be hugely positive for the environment because they may render previously intractable problems solvable.
- The environmental disciplines are either shamefully oblivious to, or are in near-total denial of, the technological prospects of the next several decades.
- As a result, the environmental scenarios on decadal scales or longer that are presented as plausible forecasts by the scientific community are, to the contrary, profoundly unrealistic – and unduly pessimistic besides.
- Some of this ignorance is genuinely innocent, although that is an increasingly unacceptable excuse.
- Some of this ignorance may be willful, and that is a serious concern with grave consequences for policy and planning.
- There are a number of good reasons to be wary of new technologies based on our historical experiences.
- There also seem to be a number of other more cynical reasons to dismiss the potential of technology to redress environmental problems.
- Regardless, there appears to be an increasingly cult-like antipathy toward technology across the environmental disciplines – as well as within the environmental movement that they inform – that is based not on reason but on a reflexive demonization and dismissal of “techno-fixes”.
- As the potential of technology to solve major environmental problems becomes steadily clearer to other disciplines such as computer science and engineering, and eventually to the public, the willful ignorance and reflexive opposition toward technology within the environmental disciplines risks becoming a form of outright denialism.
January 25, 2013
In recent weeks I have been perusing the seminars and written works of The Long Now Foundation, whose stated mission is “to provide a counterpoint to today’s accelerating culture and help make long-term thinking more common.”
This certainly seems an admirable goal, and the foundation’s projects do a superb job of melding science and engineering together with artistic and cultural sensibilities – a prime example of which is the 10,000 Year Clock, a 200-foot-tall multi-million-dollar monument being built inside a cave in a remote western Texas mountain that, as the name implies, is designed to mark the passage of time for the next ten millennia.
The Long Now Foundation emphasizes the importance of our perception of the passage of time, and indeed our cultural conceptions of the passage of time. (J. Stephen Lansing, for example, shares insights into the role that language plays in shaping our perception and conception of time by discussing the case of Polynesian and Austranesian languages that do not have tenses but instead construe time in “multiple concurrent cycles”). More specifically, The Long Now Foundation asserts that long-term thinking is in short supply, and that in the face of accelerating technological change our culture needs more rather than less of it if we are to avoid both imperiling and impoverishing future generations.
During my masters program at the University of Michigan’s School of Natural Resources and Environment I received two years of formal scientific training in how to understand the sustainability and resilience of complex systems, both in theoretical and empirical terms. This training placed much the same importance on long-term thinking as The Long Now Foundation, and for similar reasons: both are predicated on an underlying set of assumptions about the finitude and fragility of our world.
In this essay I am going to revisit three of these assumptions, and ask which if any are likely to continue to hold true for the indefinite future – say, for the next 10,000 years. I hope to show that they actually reduce to a single assumption that will inevitably – and rather quickly – prove to be false: that biology, whether human or nonhuman, is immutable. I should hasten to add, however, that this emphasizes rather than diminishes the importance of long-term thinking and environmental conservation.
July 1, 2012
Can we have a science of morality?
What is right and what is wrong? What are good and evil? These questions about the origins of morality, ethics and justice have been the subject of philosophy for millennia, but never science. Unlike philosophy, science demands that any claims made about the universe be not only logically consistent, but supported by testable evidence as well. A science of morality would therefore require empirical data across the full range of relevant spatial scales, from the micro-level of the individual person to the macro-level of our entire species. An insurmountable obstacle up until now has been that data at the micro-level are inaccessible, locked within the minds of individuals. For more than a century the prevailing view among philosophers and scientists alike has been that these data will remain forever out of reach – that the inner workings of the mind are inherently subjective, with no prospects of ever being observable. So while a great deal of work can be done by making micro-level inferences about individual minds from macro-level observations of human behavior, scholars have so far been critical of any notion that a science of morality might emerge alongside psychology, sociology, anthropology, and the other social and behavioral sciences. But a handful of thinkers believe that this may soon change as a result of the exponential progression of technology.
One of these thinkers is Sam Harris. In his 2010 book, The Moral Landscape, Harris makes a strong case for a future science of morality. He argues that morality is a function of wellbeing and suffering, and that because wellbeing and suffering are a product of our neurological machinery, morality must therefore be measurable at the level of brain. On this view, a science of morality is both a logical and an inevitable extension of the neurological and mental health sciences.
In this essay I am going to argue that although Harris’s Moral Landscape is based upon a futuristic vision of the sciences and technologies related to the human brain, this vision is not nearly futuristic enough. Harris’s arguments are not wrong per se, but rather are incomplete because like other cognitive scientists he is still implicitly basing his analysis on the assumption that human biology is immutable. Harris is right to assume that the science of morality will be a brain science, but he is wrong to assume that in the future human brains will be no different than they are today. By the end of this century we will have the technology to dramatically modify how our brains work, and the moral implications of re-engineering our minds are nothing short of staggering.
The impending availability of empirical data at the level of the brain means that age-old questions of right and wrong, and of good and evil, will become scientific questions in the near future. A science of morality is indeed in the offing. But when we abandon the assumption of biological immutability we open the door to a more fundamental debate than simply what is moral: we can begin to ask what should be moral, and why.
Let me begin by providing some conceptual context for Harris’s Moral Landscape.