Inverse reinforcement learning (IRL) could be useful to tech companies and national governments to define objectives without manually designing them. The shift towards technology being a tool that uses us, rather than the other way around, has become an issue in the last few years.
Inverse reinforcement learning could be a useful technique for national governments and tech companies to set objectives, according to experts. Rather than manually designing objectives, experts suggest presenting real people with different scenarios to pick which would improve the world, in turn allowing issues to be addressed faster and more efficiently.
The guest speaks about the need for systemic changes in terms of governance, policy, and the power of algorithms in order to promote safety in AI. They also discuss the importance of optimizing technology to achieve the outcomes that make people want to use the app, instead of simply manipulating them.
The relationship between users and technology has shifted from seeing technology as a tool we use to technology using us, which has led to an increased demand for transparency and open-source software. This shift towards technology using us has also led to companies providing user options like toggles to show or not show specific content.