AI Challenges for Society and Ethics
- URL: http://arxiv.org/abs/2206.11068v1
- Date: Wed, 22 Jun 2022 13:33:11 GMT
- Title: AI Challenges for Society and Ethics
- Authors: Jess Whittlestone and Sam Clarke
- Abstract summary: Artificial intelligence is already being applied in and impacting many important sectors in society, including healthcare, finance, and policing.
The role of AI governance is ultimately to take practical steps to mitigate this risk of harm while enabling the benefits of innovation in AI.
It also requires thinking through the normative question of what beneficial use of AI in society looks like, which is equally challenging.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Artificial intelligence is already being applied in and impacting many
important sectors in society, including healthcare, finance, and policing.
These applications will increase as AI capabilities continue to progress, which
has the potential to be highly beneficial for society, or to cause serious
harm. The role of AI governance is ultimately to take practical steps to
mitigate this risk of harm while enabling the benefits of innovation in AI.
This requires answering challenging empirical questions about current and
potential risks and benefits of AI: assessing impacts that are often widely
distributed and indirect, and making predictions about a highly uncertain
future. It also requires thinking through the normative question of what
beneficial use of AI in society looks like, which is equally challenging.
Though different groups may agree on high-level principles that uses of AI
should respect (e.g., privacy, fairness, and autonomy), challenges arise when
putting these principles into practice. For example, it is straightforward to
say that AI systems must protect individual privacy, but there is presumably
some amount or type of privacy that most people would be willing to give up to
develop life-saving medical treatments. Despite these challenges, research can
and has made progress on these questions. The aim of this chapter will be to
give readers an understanding of this progress, and of the challenges that
remain.
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