Editing
History of Artificial Intelligence
(section)
Jump to navigation
Jump to search
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
== <span style="color: #FFFFFF;">Creating</span> == Applying historical lessons to build more responsible AI systems: (1) Set calibrated expectations β AI is a tool with specific capabilities and limitations, not magic. (2) Plan for brittleness β current deep learning systems fail on distribution shift; design monitoring and fallback systems. (3) Invest in data quality as much as model sophistication. (4) Learn from the expert systems era: domain knowledge is valuable, not obsolete β combine with ML. (5) Monitor for signs of hype cycles in your organization β pressure to deploy immature AI systems has caused real harm historically. [[Category:Artificial Intelligence]] [[Category:History]] [[Category:AI History]] </div>
Summary:
Please note that all contributions to BloomWiki may be edited, altered, or removed by other contributors. If you do not want your writing to be edited mercilessly, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource (see
BloomWiki:Copyrights
for details).
Do not submit copyrighted work without permission!
Cancel
Editing help
(opens in new window)
Navigation menu
Personal tools
Not logged in
Talk
Contributions
Create account
Log in
Namespaces
Page
Discussion
English
Views
Read
Edit
View history
More
Search
Navigation
Main page
Recent changes
Random page
Help about MediaWiki
Tools
What links here
Related changes
Special pages
Page information