Another closed-door meeting about AI happening today Capitol Hill featuring lots of notable names.
ETHICS
-
Community Participation Strengthens Ethical Foundations in AI Research
By
–
"Participation done well can place our work on stronger ethical foundations by incorporating and accounting for the values of the communities and societies we’re operating in,” says @shakir_za
, senior research scientist at @GoogleDeepMind
. -
International Panel on AI Safety Proposed by Tech Leaders
By
–
Tech companies moved too late with social media. this time around, we need to get ahead. @ericschmidt and I are proposing an International Panel on AI Safety. Thanks for having me on to discuss, @SquawkCNBC @andrewrsorkin
-
Google DeepMind Keynote on Generative AI Socio-Technical Foundations
By
–
Our fall conference kicks off with a keynote from @GoogleDeepMind
's @shakir_za who explores generative AI and its socio-technical foundations. Don’t miss it: https://
hai.stanford.edu/events/new-hor
izons-generative-ai-science-creativity-and-society
… -
Designing AI Intrinsic Objectives to Prevent Sociopathic Behavior
By
–
You are right.
You can't control if a human is a sociopath.
But we can make sure an AI system won't be a sociopath because we get to design their intrinsic objectives. -
Designing AI Systems Without Sociopathic Traits
By
–
There are quite a few sociopaths in society.
Most of them aren't smart enough to take physics classes at MIT.
But history shows that the can get elected to the US presidency. We simply won't build AI sociopaths. Unlike with humans, we get to *design* AI systems intrinsic -
AI Alignment Easier Than Aligning Humans Through Design
By
–
No.
But I'm arguing that
a) we are familiar with the concept of aligning intelligent entities, whether they are children, adults, or corporations (which are super-human).
b) it is *much* easier to align AI than humans because we get to *design* the intrinsic motivations of AI -
Governance frameworks for AI agents: lessons from human entities
By
–
We already handle this with humans, groups, corporations, and governments.
-
Designing AI Objectives: Alignment Challenge vs Human Nature
By
–
You are right.
AI systems are much easier to align because we get to *design* their intrinsic objectives.
We don't get to do this with humans. We only get to modify objectives slightly through education. -
Designing AI Intrinsic Objectives for Common Good Alignment
By
–
Kids have human nature and drives hardwired in their intrinsic objectives. With education, we can merely modify these objectives slightly.
For AI systems, we get to *design* their intrinsic objectives. This makes it *much* easier to align AI to the Common Good than it is to align