Courageous AI Leadership | The One Course Every University Should Be Teaching | Adam Cutler: AI, Design, and the Human Future
Courageous AI Leadership In a New York Times interview, Brené Brown describes the current state of leadership in the face
We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. To truly grasp this transformation, our approach is rooted in engaging with core concepts such as critical thinking, logical analysis, and the scrutiny of underlying assumptions, principles that are essential in the realm of philosophical inquiry.
Here’s the issue: the current business model doesn’t make sense because increasing usage conflicts with profits.
Intimacy with technology has been the territory of science fiction. What happens if we are able to live those stories ourselves?
Apple isn’t being left behind in generative AI—it’s playing a different game. While every other tech company is spending billions on inference compute—Apple is being paid for it.
Suddenly artificial intelligence shows signs of being smart like humans. AI has been advancing so swiftly that leading AI researchers and entrepreneurs predict that AI will soon surpass humans on all cognitive tasks—a milestone commonly referred to as Artificial General Intelligence, or AGI.
How might we conceptualize the design of AGI? Rather than machines synthesizing outside human systems, we should create machines that enhance our holistic, social right-brained capacities, fostering collective wisdom.
We extend our Mind for our Minds series with an exploration of the relationship between creativity and generative AI. We wonder how AI can enhance human creativity and dig into different types of creativity.
How might a mind for our minds help us with the paradox of knowing what we care about but allowing us to care about something for which it has no knowledge?
How might AI machines affect human culture? And how will we adapt to new forms of cultural inequality?
Generative AI changes how we should think about designing machines. How might we design AI to be a mind for our minds?
Making a good decision implies that we have some idea of what’s true. But we do not have infinite data inputs or processing capacity. We are limited by our lifetimes.