AI is all around us recognizing our faces in photos, transcribing our speech, constructing our news feeds, navigating our driving routes, answering our search queries, and much more.
But rapidly improving AI is poised to play a much bigger role in all of our lives.
In this lecture, AI expert Melanie Mitchell demystifies how current-day AI works, how “intelligent” it really is, and what our expectations—and concerns—about its near-term and long-term prospects should be.
Spoiler Alert:
It is hard to make predictions, especially about the future
There are great things to be expected
Major Challenge: the concentrated power in (very) few corporations who own the data and learning.
The biggest fear: we (humans) will trust AI systems with tasks they are not capable of or robust enough to do.
Some extra’s:
- Navigating the Jagged Technological Frontier (@ HBS).
This study introduces the concept of a “jagged technological frontier,” where AI excels in some tasks but falls short in others. - How do we know how smart AI systems are? (@Science).
In 1967, Marvin Minksy, a founder of the field of artificial intelligence (AI), made a bold prediction: “Within a generation…the problem of creating ‘artificial intelligence’ will be substantially solved.” Assuming that a generation is about 30 years, Minsky was clearly overoptimistic. - AI’s challenge of understanding the world (@ Science).
To trust the AI systems that will inevitably be ubiquitous in our world, we face twin challenges: first, enabling these systems to usefully understand that world, and second, equipping ourselves with the scientific tools to make sense of how they do it.
Surtil : 