Building machines that learn and think with people
What do we want from machine intelligence? We envision machines that are not just tools
for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and …
for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and …
[图书][B] The alignment problem: How can machines learn human values?
B Christian - 2021 - books.google.com
'Vital reading. This is the book on artificial intelligence we need right now.'Mike Krieger,
cofounder of Instagram Artificial intelligence is rapidly dominating every aspect of our …
cofounder of Instagram Artificial intelligence is rapidly dominating every aspect of our …
Asking the right questions about the psychology of human inquiry: Nine open challenges
The ability to act on the world with the goal of gaining information is core to human
adaptability and intelligence. Perhaps the most successful and influential account of such …
adaptability and intelligence. Perhaps the most successful and influential account of such …
Explicability? legibility? predictability? transparency? privacy? security? the emerging landscape of interpretable agent behavior
There has been significant interest of late in generating behavior of agents that is
interpretable to the human (observer) in the loop. However, the work in this area has …
interpretable to the human (observer) in the loop. However, the work in this area has …
AI research considerations for human existential safety (ARCHES)
Framed in positive terms, this report examines how technical AI research might be steered in
a manner that is more attentive to humanity's long-term prospects for survival as a species …
a manner that is more attentive to humanity's long-term prospects for survival as a species …
[图书][B] Explainable human-AI interaction: A planning perspective
From its inception, artificial intelligence (AI) has had a rather ambivalent relationship with
humans—swinging between their augmentation and replacement. Now, as AI technologies …
humans—swinging between their augmentation and replacement. Now, as AI technologies …
Explicable planning as minimizing distance from expected behavior
In order to achieve effective human-AI collaboration, it is necessary for an AI agent to align
its behavior with the human's expectations. When the agent generates a task plan without …
its behavior with the human's expectations. When the agent generates a task plan without …
A unifying framework for observer-aware planning and its complexity
S Miura, S Zilberstein - Uncertainty in Artificial Intelligence, 2021 - proceedings.mlr.press
Being aware of observers and the inferences they make about an agent's behavior is crucial
for successful multi-agent interaction. Existing works on observer-aware planning use …
for successful multi-agent interaction. Existing works on observer-aware planning use …
Robot planning with mathematical models of human state and action
AD Dragan - arXiv preprint arXiv:1705.04226, 2017 - arxiv.org
Robots interacting with the physical world plan with models of physics. We advocate that
robots interacting with people need to plan with models of cognition. This writeup …
robots interacting with people need to plan with models of cognition. This writeup …
Designing environments conducive to interpretable robot behavior
Designing robots capable of generating interpretable behavior is essential for effective
human-robot collaboration. This requires robots to be able to generate behavior that aligns …
human-robot collaboration. This requires robots to be able to generate behavior that aligns …