Human-Centered AI
Isabelle Levent and
Human-Centered AI
Large Language Models Understand and Can be Enhanced by Emotional Stimuli
Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xiereadwise-assets.s3.amazonaws.comThis leaves us with some low-hanging fruit for humanness. We can tell richly detailed stories grounded in our specific contexts and cultures: place names, sensual descriptions, local knowledge, and, well the je ne sais quoi of being alive. Language models can decently mimic this style of writing but most don't without extensive prompt
... See moreMaggie Appleton • The Expanding Dark Forest and Generative AI
Ideally, the future of humanity is about capturing the upside of emotion while minimizing the downsides. AI is a perfect instrument to help us achieve this balance.
Scott Belsky • Joyspan, Emotional AI Bumpers, Persona Designers, & More Wild Concepts Bound to Become Commonplace Plus Where High-Tech Entertainment Brings Us
What do you do when you know that the environment is going to change but you want to have other members of your species that are reasonably well aligned? Caregiving is one of the things that we do to make that happen. Every time we raise a new generation of children, we’re faced with this difficulty of
here are these intelligences, they’re new,... See more
here are these intelligences, they’re new,... See more
Julien Crockett • How to Raise Your Artificial Intelligence: A Conversation With Alison Gopnik and Melanie Mitchell
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In the most practical sense, we are now much less limited by ideas than ever before. Even people who don’t consider themselves creative now have access to a machine that will generate innovative concepts that beat those of most humans (though not the most creative ones). Where previously, there were only a few people who had the ability to come up... See more
Ethan Mollick • Automating Creativity
This is a common error, which existed long before AI. In fact, generating (or selecting) good ideas is a key challenge. LLMs so far seem to be about as good as the internet at generating lots of quite generic ideas - those who can select the ones that match their context (and yes, then, execute on them) are the ones who will have a chance to succeed.