Chapter
The dangers of over-promising in AI
35:47 - 42:23 (06:36)
The risks with over-promising in AI are greater than ever, as it could lead to a slowdown in funding and have a negative effect on future talent joining the industry due to disillusionment. Using algorithms in decision-making processes can also perpetuate human mistakes and biases within the technology.
Clips
This episode explores the influence of complexity theory on modern artificial intelligence, with a specific focus on the Santa Fe Institute's contributions.
35:47 - 39:04 (03:17)
Summary
This episode explores the influence of complexity theory on modern artificial intelligence, with a specific focus on the Santa Fe Institute's contributions. The conversation delves into concerns around the potential biases and shortcomings of AI algorithms and the need for ethical oversight.
ChapterThe dangers of over-promising in AI
EpisodePamela McCorduck: Machines Who Think and the Early Days of AI
PodcastLex Fridman Podcast
The speaker explains how going on sabbaticals to various institutes and exploring new ideas helped bring creativity into her life and work.
39:04 - 39:59 (00:55)
Summary
The speaker explains how going on sabbaticals to various institutes and exploring new ideas helped bring creativity into her life and work.
ChapterThe dangers of over-promising in AI
EpisodePamela McCorduck: Machines Who Think and the Early Days of AI
PodcastLex Fridman Podcast
This episode features a conversation on how literature, history and complexity science intersect, with a focus on a missed opportunity of writing a book about a complex adaptive system.
40:00 - 42:23 (02:22)
Summary
This episode features a conversation on how literature, history and complexity science intersect, with a focus on a missed opportunity of writing a book about a complex adaptive system.