Chapter
Power and Fairness in Different Worlds
02:17 - 12:15 (09:57)
The prevalence of abuse of power can be avoided through awareness of different social norms in various worlds, rather than assuming that only evil people rise to power. The implementation of algorithmic solutions can differ between computer scientists and philosophers in their perspective on fairness.
Clips
The rise of algorithmic solutions has highlighted a gap between how philosophers and computer scientists approach fairness.
02:17 - 05:50 (03:32)
Summary
The rise of algorithmic solutions has highlighted a gap between how philosophers and computer scientists approach fairness. This has led to researchers looking for solutions to prevent the negative impact of algorithms through increasing research on algorithmic fairness.
ChapterPower and Fairness in Different Worlds
EpisodeMichael Kearns: Algorithmic Fairness, Bias, Privacy, and Ethics in Machine Learning
PodcastLex Fridman Podcast
The issue of algorithmic fairness compared to algorithmic privacy is a harder problem to solve.
05:50 - 07:59 (02:09)
Summary
The issue of algorithmic fairness compared to algorithmic privacy is a harder problem to solve. The community has settled on the right definition for privacy, which is differential privacy, while fairness would require looking where the light is and addressing racist practices at the source.
ChapterPower and Fairness in Different Worlds
EpisodeMichael Kearns: Algorithmic Fairness, Bias, Privacy, and Ethics in Machine Learning
PodcastLex Fridman Podcast
Moving between different worlds, such as Wall Street and academia, allows for the realization that social norms developed within these worlds can lead to abuses of power that are seen as acceptable within the world's own rationale.
07:59 - 12:15 (04:15)
Summary
Moving between different worlds, such as Wall Street and academia, allows for the realization that social norms developed within these worlds can lead to abuses of power that are seen as acceptable within the world's own rationale.