Skip to main content
Skip to search
Ideas change everything
WATCH
TED Talks
Browse the library of TED talks and speakers
Playlists
100+ collections of TED Talks, for curious minds
TED Series
Go deeper into fascinating topics with original video series from TED
TED-Ed videos
Watch, share and create lessons with TED-Ed
TEDx Talks
Talks from independently organized local events
DISCOVER
Topics
Explore TED offerings by topic
Podcasts
Explore the TED Audio Collective
Ideas Blog
Our daily coverage of the world of ideas
Newsletters
Inspiration delivered straight to your inbox
TED Games
Innovative games that challenge you to think differently
ATTEND
Conferences
Take part in our events: TED, TEDGlobal and more
TEDx Events
Find and attend local, independently organized events
TED on Screen
Experience TED from home
TED Courses
Learn from TED speakers who expand on their world-changing ideas
PARTICIPATE
Nominate
Recommend speakers, TED Prize recipients, Fellows and more
Organize a local TEDx Event
Rules and resources to help you plan a local TEDx event
TED-Ed
Award-winning educational content and programs
Translate
Bring TED to the non-English speaking world
TED Fellows
Join or support innovators from around the globe
ABOUT
Our Organization
Our mission, history, team, and more
Conferences
TED Conferences, past, present, and future
Programs & Initiatives
Details about TED's world-changing initiatives
Partner with TED
Learn how you can partner with us
TED Blog
Updates from TED and highlights from our global community
SIGN IN
MEMBERSHIP
Type to search
TED is supported by ads and partners
00:00
Visit advertiser
如何讓人工智慧賦予我們力量，而非受控於它
1,594,461 plays
|
麥克斯·泰格馬克 |
TED2018
• April 2018
Read transcript
許多研究者預期人工智慧將會於數十年內在所有的工作上勝過我們，而唯一的限制在於物理法則，不是智慧。麻省理工學院的物理學家和人工智慧研究者麥克斯·泰格馬克區隔迷思和真正的機會，說明我們現今應該採取哪些步驟來確保人工智慧最終能為人類帶來最好（而非最糟）的結果。
technology
computers
innovation
future
AI
humanity
society
machine learning
TED is supported by ads and partners
