2 citations · 3 across the 3 of their papers we have counts for
4 papers
When is it permissible for artificial intelligence to lie? A trust-based approach
Tae Wan Kim, Tong, Lu +4
Conversational Artificial Intelligence (AI) used in industry settings can be trained to closely mimic human behaviors, including lying and deception. However, lying is often a nece…
Taking Principles Seriously: A Hybrid Approach to Value Alignment
Tae Wan Kim, John Hooker, Thomas Donaldson
An important step in the development of value alignment (VA) systems in AI is understanding how VA can reflect valid ethical principles. We propose that designers of VA systems inc…
Grounding Value Alignment with Ethical Principles
Tae Wan Kim, Thomas Donaldson, John Hooker
An important step in the development of value alignment (VA) systems in AI is understanding how values can interrelate with facts. Designers of future VA systems will need to utili…
Mimetic vs Anchored Value Alignment in Artificial Intelligence
Tae Wan Kim, Thomas Donaldson, John Hooker
"Value alignment" (VA) is considered as one of the top priorities in AI research. Much of the existing research focuses on the "A" part and not the "V" part of "value alignment." T…