Volume IX · Ethics and the Future · chapter 12
Shaping Emerging Technologies to Prevent Future Suffering
Before you read study layer, not part of the original text
Emerging technologies could multiply suffering: the chapter discusses shaping artificial intelligence with a focus on s-risks, avoiding indirect risks from AI, managing space colonization, and the risk of creating new forms of sentience.
Smart robots, space travel, and even digital minds that might be able to feel are things that could exist in the future. If they are created without care for those who can feel, they could cause enormous suffering. That is why it is good to think about them now.
Someone designing a new city can plan sidewalks and ramps from the start. Once it is built, fixing things is much harder.
- P1 New technologies could give enormous power to people who do not care about those affected.
- P2 AI, space colonization, and the creation of new forms of sentience could generate astronomical suffering.
- P3 Shaping these technologies early, with non-anthropocentric values, reduces these risks.
- C Spreading consideration for all sentient beings as widely as possible helps both to avoid these technologies and to reduce the harm if they are created.
The chapter’s central argument in logical form. If the premises are true, the conclusion follows. To disagree, you have to show which premise is false.
They say “Machines do not feel; we do not need to worry about that.”
Answer Maybe today's machines do not. But if sentient digital minds are created, they could exist in enormous numbers and be easy to ignore, since they have no faces and do not scream.
More objections and answers in Debunking objections.
Original text Luciano Carlos Cunha · Volume IX, p. 81 of the PDF edition · English translation
12.1. Introduction
are risks that practices will arise in the future generating suffering of astronomical size, many orders of magnitude greater than the suffering that exists today105. Several of these risks concern the increase in technological power and the high probability that those who control these technologies will have no for the individuals affected by them.
In light of this, one might think that a solution is to try to stop technological development. However, there are several reasons why this strategy would not be very promising. (2022, p. 77) lists the following reasons:
- Technology could also be used to reduce suffering. In the absence of technology, there would be no way to prevent suffering resulting from natural causes106, for example (and perhaps not even suffering caused by humans that does not result from the use of advanced technology). We have already discussed this question in more detail in section 8.3.
- It is not realistic to suppose that, even if we succeeded in stopping technological development, this would be guaranteed forever.
- A campaign against technological development could generate conflict with those who seek to reap the benefits of technology.
- It is not realistic to expect that we will be able to prevent the development of certain harmful technologies in time.
These reasons seem to indicate that trying to shape the development and use of technologies is a more promising strategy for trying to reduce s-risks. In this discussion, the focus has usually been on how to shape AI (artificial intelligence). However, as we will see, there are other s-risks related to the advance of other kinds of technology (such as the possibility of
space colonization and of the emergence of new forms of ), which may be more worrying than AI.
Below we will discuss some suggestions made by Baumann (2022, p.77-84) regarding shaping emerging technologies. We also add a discussion of technologies that could give rise to other forms of sentience in the future.
12.2. Arguments for and against focusing on shaping artificial intelligence (AI)
Let us begin by discussing the points for and against focusing on trying to shape AI107.
12.2.1. Why try to shape AI
The main reason to try to shape AI, if our goal is to prevent s-risks, is this: if AI comes to have superhuman intelligence and becomes autonomous, it could shape everything that happens from then on according to its values. Thus, influencing this process could be central to influencing the long-term future. Advanced AI has the potential to cause s-risks, but it could also prevent s-risks arising from other sources. Everything will depend on what values this AI will have.
Work to reduce s-risks from AI is highly . Few people work on ensuring that the goals of autonomous AI are aligned with those of its creators (what is called AI safety). However, even alignment with the goals of its creators is not enough to prevent s-risks, since its creators may be indifferent to the suffering of nonhuman sentient beings (or may even aim to cause them suffering). For example, the few people who work on AI safety usually take into account only the risks to humans. This high degree of neglect allows us to have considerable influence108.
12.2.2. Risks of focusing on shaping AI
One risk involved in focusing on trying to shape AI is the following: since we do not know what future technologies will be like, there is a high risk that attempts to shape AI will be ineffective, or even a waste of time. We may be mistaken about which future technologies will have the most influence. We may focus on AI while the most influential technologies turn out to be others that have yet to emerge. Just as in the past there was not just one technology that determined the course of history, there is probably not just one lever for shaping the future and reducing s-risks.
12.2.3. How great is the influence of technologies?
Even if there were a single technology with the greatest influence in determining what the future will be like, and even if we knew which one it is, it could still be that improving values, political culture, and institutions would be the most effective way to shape the future (rather than trying to shape technology directly), since technological development is never divorced from the political and sociocultural context (it is this context that will determine which goals are pursued through the use of technology).
12.3. An example of AI alignment focused on s-risks
Since advanced AI systems would be very powerful agents, it is quite possible that conflicts between such systems would have disastrous consequences. So efforts to achieve cooperative AI are promising for reducing s-risks.
For example, one could research how to mitigate the risks if something analogous to traits such as psychopathy, sadism, narcissism, and Machiavellianism were to emerge in AIs109. These traits arose in humans over the course of evolution. So something equivalent could arise in AI training environments. By studying the incentives reinforced in these environments, we could try to ensure that such tendencies do not emerge.
We can also create safety measures that would kick in if there is a failure in aligning AI with the values of its creators. However, as we have seen, the values of its creators are crucial in determining what the outcome will be. We will discuss this next.
12.4. Avoiding indirect risks related to AI
Baumann (2022, p. 80-4) suggests the following ways of avoiding indirect risks related to AI:
Treaties to ensure cooperative AI development could prevent an arms race among nations for control of AI. International bodies could oversee AI development, and rules could be adopted on how to proceed if an AI comes to have certain capabilities. Of course, there is no reason to be overly optimistic about this, since any such agreement could be very difficult to implement.
The emergence of advanced AI could endanger the rule of law and democratic institutions. So we need to investigate how to avoid political turmoil during a period of transition to advanced AI, and how to ensure that laws still apply in that context.
It is also vital to limit the ability of malevolent agents to make use of AI. One possible way would be to try to distribute future technological capabilities so as to make it difficult for any single agent to cause great harm.
In addition, we can establish standards on how to proceed if we realize that an AI has met the criteria for sentience110.
12.5. Space governance
As mentioned before, s-risks due to technology are not limited to AI. Many are related to space colonization111, since with such activity suffering could be vastly multiplied across the universe, to the point of making the suffering that exists on Earth "a grain of sand" by comparison.
When discussing this risk, animal advocates usually have in mind the possibility of humans living on other planets and reproducing
there (as, for example, the use of animals for food). However, the risk related to the possibility of space colonization is probably much more closely tied to the possibility that it will spread across the universe the suffering and deaths caused by natural processes, since when (and if) space colonization becomes feasible, animal exploitation may already be obsolete. And, even if it is not, natural processes tend to be more efficient than animal exploitation at maximizing suffering112. We will look at this below.
Space colonization could multiply the suffering caused by simply by spreading life to other places (even nonsentient life, since it could, after a long time, give rise to sentient beings). This is so because, given the way natural selection operates, natural processes tend to maximize the number of sentient beings who are born only to have a life full of suffering and to die prematurely. For example, the characteristic of reproducing by having gigantic broods (with thousands or millions of offspring per brood) is a trait that is very likely to prevail, since there is a high probability that at least some offspring will survive and reproduce, passing this trait on, even if all the others are born only to suffer and die. Indeed, this is what can be inferred to occur in stable populations (if a population remains stable over several generations, this is a sign that, on average, only one descendant per parent survived). This is one of the reasons why the number of animals who suffer and die as a result of natural processes is so gigantic that it makes even the figures for animal exploitation almost vanish by comparison.
There are currently no regulations on space exploration. It is therefore worth creating regulations to achieve positive outcomes when (and if) space colonization becomes feasible, both in terms of avoiding conflicts and in terms of not indirectly spreading suffering.
One might think that the easiest way to avoid these s-risks would be to oppose space colonization. This is certainly a possible strategy. However, if space colonization is inevitable, it is also important to emphasize that we should undertake it only after
we have done everything possible to ensure that the outcome is positive.
12.6. The possibility of creating other forms of sentience
Like space colonization, the possible creation of new forms of sentience in the future has the potential to multiply suffering enormously. This could happen through genetic modification of nonhuman animals and also through the creation of nonorganic sentient beings (for example, in digital media113).
Especially in the latter case, these beings could be very different from the sentient beings we already know (they might not have faces, might not show that they are suffering, and so on), and so most people would probably not empathize with them. Nonhuman animals are already very similar to humans in terms of expressing suffering and, even so, all kinds of atrocities are committed against them every day. Moreover, it may become very cheap to create digital sentient beings on a large scale, and this could be useful for various purposes, such as creating a universe inside a computer.
As in the case of space colonization, there is also no regulation of this, and no broad discussion taking place. It is therefore important to begin advocating the need for discussion about regulating this practice before it emerges.
There is also the option of trying to campaign for these forms of sentience never to be created. However, as in the case of space colonization, it may be impossible to prevent their emergence, given that technological progress is usually much faster than the progress of ethical debate in society about the practice in question (what is called differential progress). However, differential progress is a problem not only for attempts to prevent the emergence of practices such as space colonization, the creation of new forms of sentience, or other uses of technology that could generate s-risks: it is also a problem for attempts to regulate the use of these technologies (since they will very probably begin to be used before there is any regulation).
In any case, there is a strategy we can adopt that would help increase both the chances that such technologies are never created and the chances that, if they are created, the resulting harm will be smaller: spreading moral consideration for all forms of sentience as efficiently as possible. This seems to be a very promising (and essential) strategy for increasing the chances that efforts to shape technologies will be directed toward preventing suffering rather than increasing it.
Practice
Study layer. The answers are based on the chapter’s text.
What is non-anthropocentric AI alignment?
According to the chapter, what strategy would help in all of these technological scenarios?
Food for thought
If a digital mind that could feel pain were created, how would you know? How would it be treated?
Author’s notes 9
- 105 On s-risks, see Baumann (2017, 2022) and (2019). ↩
- 106 For an explanation of how natural processes tend to maximize the number of animals who are born into lives full of suffering, see (2010) and (2015). For an analysis of the ethical implications of this situation, see Volume VII of this collection and also (2022). ↩
- 107 For a discussion of this, see et. al. (2015) and Baumann (2022, p. 2022, p. 77-84). ↩
- 108 For an explanation of why our impact tends to be greater when a problem is highly neglected, see section 1.7 of Volume VIII of this collection. ↩
- 109 One example of an organization focused on this is the Center on Long-Term Risk. ↩
- 110 On how to test whether or not an AI is conscious, see Butlin et al. (2023). ↩
- 111 On this risk, see Tomasik (2022) and O'brien (2022). ↩
- 112 This is mainly due to the vast reproductive potential of most animal species (which have broods of many thousands or even many millions of offspring, depending on the species). In stable populations, the average survival rate is only two offspring per brood. For a detailed explanation of this point, see Horta (2010b). ↩
- 113 On this risk, see Tomasik (2015). ↩
Sources cited in this text 9
The full list for the volume is in the Volume IX references.
- BAUMANN, T. Avoiding the worst final: how to prevent a moral cathastrophe. Center for Reducing Suffering, 2022.
- BAUMANN, T. S-risks: An introduction. Reducing Risks of Future Suffering: Toward a responsible use of new technologies, 2017.
- BUTLIN, P et al. Consciousness in Artificial Intelligence: Insights from the Science of Consciousness. arXiv: 2308.08708v3 [cs.AI], 22 Aug. 2023
- CUNHA, L. C. Razões para ajudar: o sofrimento dos animais selvagens e suas implicações éticas. Curitiba: Appris, 2022.
- HORTA, O. Debunking the Idyllic View of Natural Processes: Population Dynamics and Suffering in the Wild. Télos, v. 17, p. 73-88, 2010b.
- MANNINO, A.; ALTHAUS, D.; ERHARDT, J.; GLOOR, L.; HUTTER, A.; METZINGER, T. Artificial intelligence: Opportunities and risks - Policy paper by Effective Altruism Foundation. Effective Altruism Foundation, [s.l.], 2015.
- TOMASIK, B. Applied Welfare Biology and Why Wild-Animal Advocates Should Focus on Not Spreading Nature. Essays on Reducing Suffering, 03 jun. 2022.
- TOMASIK, B. How Many Animals are There? Essays on Reducing Suffering, 07 ago. 2019a.
- TOMASIK, B. Why digital sentience is relevant to animal activists. Animal Charity Evaluators. 03 fev. 2015.
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