Brian Christian


Algorithms to Live By | Brian Christian

Apr 14, 2020

It is possible to be extremely astute about how we manage difficult decisions. With just a few mental tools we get the benefit of better outcomes along with release from agonizing about the process of deciding.

Many mental tools—algorithms—developed with obligatory clarity for computers turn out to have ready application for humans facing such problems as: when to stop hunting for an apartment (or lover); how much novelty to seek; how to get rid of the right stuff; how to allot scarce time; how to consider the future; when to relax constraints; how to give chance a chance; how to recognize when you’re playing the wrong game; and how to make decisions easier for others (“computational kindness”).

Brian Christian, the co-author of "Algorithms to Live By: The Computer Science of Human Decisions", lives in San Francisco, deploying his degrees in philosophy, computer science, and poetry.

"Algorithms to Live By" was given on June 20, 02016 as part of Long Now's Seminar series. The series was started in 02003 to build a compelling body of ideas about long-term thinking from some of the world's leading thinkers. The Seminars take place in San Francisco and are curated and hosted by Stewart Brand.
 

Brian Christian: The Future of AI

Oct 19, 2020

Time and time again we have created artificial intelligence (AI) systems to help solve our problems, but what happens when the AI systems become the problem?

Artificial Intelligence systems have been created to help humans work faster, respond more justly, manage more and make fewer mistakes, but now the solution has become the issue. As these systems progress and become more prevalent, ethical and existential risks have emerged. Brian Christian argues that it turns out there is only so much AI can do before it becomes painfully clear that humans need humans. We need empathy and connection when determining bail amounts. We need doctors who know our names in order to feel cared for, not just machines that have downloaded our health data. Not everything can be outsourced, but so much already is and it now becomes a dilemma how to rein it in. What happens when our machines outsmart us, or an enemy outsmarts our systems? How do we realign?

Christian investigates these questions and more in his new book, The Alignment Problem: Machine Learning and Human Values. Join us for our conversation about what must change culturally and in the world of tech to ensure that humanity remains our north star.

NOTES

Christian photo by Michael Langan

Speakers:
Brian Christian
Visiting Scholar, University of California Berkeley; Author, The Alignment Problem: Machine Learning and Human Values

John Zipperer
Vice President of Media & Editorial, The Commonwealth Club—Moderator
 
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