Stuart Russell Calls For New Approach For AI, A 'Civilization-Ending' Technology - Credit: University of California Berkeley

Stuart Russell Calls For New Approach For AI, A ‘Civilization-Ending’ Technology

Stuart Russell, a professor of computer science at the University of California, Berkeley, recently called for a new approach to Artificial Intelligence (AI) that could potentially save humanity from its own destruction. He believes that AI has the potential to be an incredibly powerful tool – but also one with serious consequences if not handled properly.

Russell argues that current approaches to AI are too focused on short-term gains and do not take into account long-term implications or risks. He suggests instead that we should focus on developing “safe” AI systems which can be used in ways beneficial to society without leading us down a path towards our own destruction. This would involve creating algorithms and systems which have built-in safety protocols and ethical considerations baked in from the start – something he calls “value alignment”.

In order for this value alignment process to work effectively, Russell believes it is essential for humans and machines to share common values such as fairness, justice, respect for life etc., so they can understand each other better and work together more efficiently. To achieve this goal he proposes using techniques such as game theory or evolutionary computation which allow machines to learn through trial and error rather than being programmed by humans directly.

Ultimately Russell hopes his call will lead us away from what he refers to as “civilization ending technology” – where AI is developed without any consideration of its potential impacts on humanity – towards an approach where we use AI responsibly while still reaping its many benefits. By taking these steps now we may be able avoid some of the worst outcomes associated with unchecked technological advancement in the future.

|Stuart Russell Calls For New Approach For AI, A ‘Civilization-Ending’ Technology|Technology|University of California Berkeley

Original source article rewritten by our AI: University of California Berkeley




By clicking “Accept”, you agree to the use of cookies on your device in accordance with our Privacy and Cookie policies