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  • Written by Nir Eisikovits, Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
Is AI dominance inevitable? A technology ethicist says no, actually

Anyone following the rhetoric around artificial intelligence in recent years has heard one version or another of the claim that AI is inevitable[1]. Common themes are that AI is already here, it is indispensable, and people who are bearish on it harm themselves.

In the business world, AI advocates tell companies and workers that they will fall behind[2] if they fail to integrate generative AI into their operations. In the sciences, AI advocates promise that AI will aid in curing hitherto intractable diseases[3].

In higher education[4], AI promoters admonish teachers that students must learn how to use AI or risk becoming uncompetitive when the time comes to find a job.

And, in national security, AI’s champions say that either the nation invests heavily in AI weaponry, or it will be at a disadvantage vis-à-vis the Chinese and the Russians[5], who are already doing so.

The argument across these different domains is essentially the same: The time for AI skepticism has come and gone. The technology will shape the future, whether you like it or not. You have the choice to learn how to use it or be left out of that future. Anyone trying to stand in the technology’s way is as hopeless as the manual weavers who resisted the mechanical looms in the early 19th century[6].

In the past few years, my colleagues and I at UMass Boston’s Applied Ethics Center[7] have been studying the ethical questions raised by the widespread adoption of AI, and I believe the inevitability argument is misleading.

History and hindsight

In fact, this claim is the most recent version of a deterministic view of technological development. It’s the belief that innovations are unstoppable once people start working on them. In other words, some genies don’t go back in their bottles. The best you can do is harness them to your good purposes.

This deterministic approach to tech has a long history. It’s been applied to the influence of the printing press[8], as well as to the rise of automobiles and the infrastructure they require[9], among other developments.

vintage cars mix with traffic in a small city street
The dominance of automobiles and the infrastructure that supports them over many decades only seems inevitable in hindsight. Bbeachy2001/Wikimedia Commons, CC BY[10][11]

But I believe that when it comes to AI, the technological determinism argument is both exaggerated and oversimplified.

AI in the field(s)

Consider the contention that businesses can’t afford to stay out of the AI game. In fact, the case has yet to be made that AI is delivering significant productivity gains to the firms that use it. A report in The Economist in July 2024 suggests that so far, the technology has had almost no economic impact[12].

AI’s role in higher education is also still very much an open question. Though universities have, in the past two years, invested heavily[13] in AI-related initiatives, evidence suggests they may have jumped the gun.

The technology can serve as an interesting pedagogical tool. For example, creating a Plato chatbot[14] that lets students have a text conversation with a bot posing as Plato is a cool gimmick.

But AI is already starting to displace some of the best tools teachers have for assessment and for developing critical thinking, such as writing assignments. The college essay is going the way of the dinosaurs[15] as more teachers give up on the ability to tell whether their students are writing their papers themselves. What’s the cost-benefit argument for giving up on writing, an important and useful traditional skill?

In the sciences and in medicine, the use of AI seems promising. Its role in understanding the structure of proteins[16], for example, will likely be significant for curing diseases. The technology is also transforming medical imaging[17] and has been helpful in accelerating the drug discovery process.

But the excitement can become exaggerated. AI-based predictions about which cases of COVID-19 would become severe have roundly failed[18], and doctors rely excessively on the technology’s diagnostic ability[19], often against their own better clinical judgment. And so, even in this area, where the potential is great, AI’s ultimate impact is unclear.

In retrospect, using AI to help diagnose COVID-19 patients was problematic.

In national security, the argument for investing in AI development is compelling. Since the stakes can be high, the argument that if the Chinese and the Russians are developing AI-driven autonomous weapons, the United States can’t afford to fall behind, has real purchase[20].

But a complete surrender to this form of reasoning, though tempting, is likely to lead the U.S. to overlook the disproportionate impact[21] of these systems on nations that are too poor to participate in the AI arms race. The major powers could deploy the technology in conflicts in these nations. And, just as significantly, this argument de-emphasizes the possibility of collaborating with adversaries on limiting military AI systems, favoring arms race over arms control.

One step at a time

Surveying the potential significance and risks of AI in these different domains merits some skepticism about the technology. I believe that AI should be adopted piecemeal and with a nuanced approach rather than subject to sweeping claims of inevitability. In developing this careful take, there are two things to keep in mind:

First, companies and entrepreneurs working on artificial intelligence have an obvious interest in the technology being perceived as inevitable and necessary, since they make a living from its adoption. It’s important to pay attention to who is making claims of inevitability, and why.

Second, it’s worth taking a lesson from recent history. Over the past 15 years, smartphones and the social media apps that run on them came to be seen as a fact of life – a technology as transformative as it is inevitable[22]. Then data started emerging[23] about the mental health harms they cause teens, especially young girls. School districts across the United States started to ban phones[24] to protect the attention spans and mental health of their students. And some people have reverted to using flip phones[25] as a quality of life change to avoid smartphones.

After a long experiment with the mental health of kids, facilitated by claims of technological determinism, Americans changed course. What seemed fixed turned out to be alterable. There is still time to avoid repeating the same mistake with artificial intelligence, which potentially could have larger consequences for society.

References

  1. ^ claim that AI is inevitable (www.entrepreneur.com)
  2. ^ they will fall behind (online.hbs.edu)
  3. ^ AI will aid in curing hitherto intractable diseases (www.nhlbi.nih.gov)
  4. ^ higher education (www.forbes.com)
  5. ^ be at a disadvantage vis-à-vis the Chinese and the Russians (www.cnn.com)
  6. ^ resisted the mechanical looms in the early 19th century (www.smithsonianmag.com)
  7. ^ UMass Boston’s Applied Ethics Center (umb.edu)
  8. ^ the printing press (doi.org)
  9. ^ rise of automobiles and the infrastructure they require (transitionaccelerator.ca)
  10. ^ Bbeachy2001/Wikimedia Commons (commons.wikimedia.org)
  11. ^ CC BY (creativecommons.org)
  12. ^ has had almost no economic impact (archive.ph)
  13. ^ invested heavily (www.insidehighered.com)
  14. ^ Plato chatbot (blog.cramly.ai)
  15. ^ going the way of the dinosaurs (www.theatlantic.com)
  16. ^ understanding the structure of proteins (doi.org)
  17. ^ also transforming medical imaging (www.forbes.com)
  18. ^ have roundly failed (www.technologyreview.com)
  19. ^ rely excessively on the technology’s diagnostic ability (www.technologyreview.com)
  20. ^ can’t afford to fall behind, has real purchase (www.nytimes.com)
  21. ^ overlook the disproportionate impact (behorizon.org)
  22. ^ as transformative as it is inevitable (kk.org)
  23. ^ data started emerging (theconversation.com)
  24. ^ started to ban phones (www.washingtonpost.com)
  25. ^ reverted to using flip phones (www.nytimes.com)

Authors: Nir Eisikovits, Professor of Philosophy and Director, Applied Ethics Center, UMass Boston

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