Panel Session
Is Large AI good or bad for society?
The panel session will discuss the proposition as to whether Large AI is good or bad for society, and what should be done to make it beneficial to society. For this session, we can define “Large AI” as AI that is so big or expensive to train or run that only large organisations can afford the finance or resources to do so.
There are several ways in which this question might be considered. For example, people may consider that information is the key force which will either drive or divide society, that information is the "the stock in trade of AI”, and that these may or will collide, especially with the advent of Large AI. But if Large AI - and hence the commerce of information - is under the control of a near-oligopoly, then maybe so too is the information it controls.
Amongst other questions, we may therefore ask in the panel session if information, “facts”, and perception are at the heart of a culture war dividing Western society? Information is also the fuel of “Large AI” - but are Large AIs neutral or partisan creations? As cutting-edge Large AI gets bigger, can only mega corporations can afford to build, own, and control it? Is Large AI becoming, and making society, less democratic?
We might also consider environmental aspects. Together, Large AI such as some large language models are now significant contributors to energy use and hence CO2 emissions and global warming. Do the benefits outweigh the environmental impact?
Others may be concerned that there may be impact on employment. If Large AI can replace many jobs, is society mature enough so that the benefit is shared and all need to work less, or will the benefit be absorbed by ever-larger and less efficient government, or will it simply result in a richer elite?
Is Large AI, in the way in which it is being used, good for society? What should we do to ensure that it is good for society?
Chair Andrew Lea |
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Panel Members will include
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AI-2024 Forty-fourth SGAI International Conference on Artificial Intelligence
CAMBRIDGE, ENGLAND 17-19 DECEMBER 2024
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paper submission and info for authors |
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