AI takeover and human disempowerment

Adam Bales (Global Priorities Institute, University of Oxford)

GPI Working Paper No. 9-2024, forthcoming in The Philosophical Quarterly

Some take seriously the possibility of AI takeover, where AI systems seize power in a way that leads to human disempowerment. Assessing the likelihood of takeover requires answering empirical questions about the future of AI technologies and the context in which AI will operate. In many cases, philosophers are poorly placed to answer these questions. However, some prior questions are more amenable to philosophical techniques. What does it mean to speak of AI empowerment and human disempowerment? And what empirical claims must hold for the former to lead to the latter? In this paper, I address these questions, providing foundations for further evaluation of the likelihood of takeover.

Other working papers

Estimating long-term treatment effects without long-term outcome data – David Rhys Bernard (Paris School of Economics)

Estimating long-term impacts of actions is important in many areas but the key difficulty is that long-term outcomes are only observed with a long delay. One alternative approach is to measure the effect on an intermediate outcome or a statistical surrogate and then use this to estimate the long-term effect. …

Can an evidentialist be risk-averse? – Hayden Wilkinson (Global Priorities Institute, University of Oxford)

Two key questions of normative decision theory are: 1) whether the probabilities relevant to decision theory are evidential or causal; and 2) whether agents should be risk-neutral, and so maximise the expected value of the outcome, or instead risk-averse (or otherwise sensitive to risk). These questions are typically thought to be independent – that our answer to one bears little on our answer to the other. …

Training effective altruism – Sultan Mehmood, (New Economic School), Shaheen Naseer (Lahore School of Economics) and Daniel L. Chen (Toulouse School of Economics)

Our randomized controlled trial of Pakistan’s deputy ministers compares two schools of thought about how to cultivate prosociality. We find that training the utilitarian value of empathy results in a 0.4-0.6 standard deviation increase in altruism, cooperation, coordination, and teamwork. Field outcomes—orphanage visits, volunteering in impoverished schools, and blood donations—also roughly double. We find that treated ministers increased their mentalizing of others…