3Q: Aleksander Madry on building trustworthy artificial intelligence
Kim Martineau, 14th of Dec. 2018
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http://news.mit.edu/2018/mit-3q-aleksander-madry-building-trustworthy-ai-1214
"Machine learning algorithms now underlie much of the software we
use, helping to personalize our news feeds and finish our thoughts
before we're done typing. But as artificial intelligence becomes
further embedded in daily life, expectations have risen. Before
autonomous systems fully gain our confidence, we need to know they
are reliable in most situations and can withstand outside
interference; in engineering terms, that they are robust. We also
need to understand the reasoning behind their decisions; that they
are interpretable.
Aleksander Madry, an associate professor of computer science at
MIT and a lead faculty member of the Computer Science and
Artificial Intelligence Lab (CSAIL)'s Trustworthy AI initiative,
compares AI to a sharp knife, a useful but potentially-hazardous
tool that society must learn to weild properly. Madry recently
spoke at MIT's Symposium on Robust, Interpretable AI, an event
co-sponsored by the MIT Quest for Intelligence and CSAIL, and held
Nov. 20 in Singleton Auditorium. The symposium was designed to
showcase new MIT work in the area of building guarantees into AI,
which has almost become a branch of machine learning in its own
right. Six faculty members spoke about their research, 40 students
presented posters, and Madry opened the symposium with a talk the
aptly titled, "Robustness and Interpretability." We spoke with
Madry, a leader in this emerging field, about some of the key ideas
raised during the event." ...
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