話者: Dr. Alfred Spector（Professor of Practice at MIT)
講演タイトル:
Applying Data Science and AI Effectively:
Implications on Product, Business, and Regulation
日時: 12月3日(水) 17:00～18:30
場所: 理学部3号館327号室(Beyond AIセミナー室)およびZoom
Zoom情報:
Topic: Lecture by Prof. Alfred Z. Spector
Date and Time: December 3, 2025, 5pm JST
Zoom URL:
https://u-tokyo-ac-jp.zoom.us/j/83481066559?pwd=gPWbyhtb6XwcAsimjuc0OAxCKnvl95.1
Meeting ID: 834 8106 6559
Passcode: 244225
補足: 同所で16:00より話者を交えて談話会も開催いたします。
奮ってご参加ください。こちらはZoom配信はありません。
概要:
Applying artificial intelligence and data science effectively
requires a considerably broader focus than just data and machine
learning. Based on the speaker and his co-authors’recent book, Data
Science in Context (and an associated MIT Course), this talk
distills these additional challenges into a rubric and illustrates
its application with several examples. The presentation also
discusses the importance of the technical, sectoral/application,
societal, and temporal context in which data-driven methods are
applied. Beyond the rubric, the presentation also provides a useful
framework for making the complex trade-offs that are present and
growing. While the talk should have practical value to those developing
and deploying AI, it also illustrates contemporary
challenges — challenges that are also opportunities!
話者紹介:
Dr. Alfred Spector is a Professor of Practice at MIT and a Senior
Advisor at Blackstone. His career has led him from innovation in
large-scale, networked computing systems to broad engineering and
research leadership. Recently, he co-authored a Cambridge University
Press textbook, “Data Science in Context: Foundations, Challenges,
Opportunities.” (See www.datascienceincontext.com)
Previously, Dr. Spector was CTO and Head of Engineering at Two Sigma
Investments. Before that, he spent eight years as VP of Research and
Special Initiatives at Google, and he held various senior-level
positions at IBM, including as global VP of Services and Software
Research and global CTO of IBM’s Software Business. Earlier in his
career, he founded Transarc Corporation, a pioneer in distributed
transaction processing and wide-area file systems, and he was a tenured
professor at Carnegie Mellon University.
Spector was a Hertz Fellow at Stanford and is also a Fellow of both the
ACM and the IEEE. He is a member of the National Academy of Engineering
and the American Academy of Arts and Sciences. Dr. Spector won the 2001
IEEE Kanai Award for Distributed Computing and the 2016 ACM Software
Systems Award. In 2018-19, Dr. Spector lectured widely as a Phi Beta
Kappa Scholar (for example, on the growing importance of computer
science across all disciplines based on the evocative phrase, “CS+X”).
He has been a member of the ACM Turing Award Committee and has done
national service through chairing the NSF’s CISE Advisory Board and his
membership on the Army and Defense Science Boards. Dr. Spector obtained
a Ph.D. in computer science from Stanford and a B.A. in applied math
from Harvard.
問合せ:
萩谷 hagiya@g.ecc.u-tokyo.ac.jp