Castles in the Sand?: How the Public Sector and Academia Can Partner in Regulatory Sandboxes to Help Leverage Generative AI for Public Good

Of course, there are major ethical issues to work out—leaps forward in technology often walk a fine line between deeply-impactful and dystopian. Among the questions we need to figure out:

• Who is responsible for AI’s mistakes?


• Who is the creator of an AI work? Is it the AI? The developers? The person who wrote the prompt? The people whose work was use

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I define “creative risk” as the wild ideas in our mind’s eye that we would love to pursue, but don’t because the cost (time, money, reputation...) is too much to bear. As a result, we play it safe in the form of making sequels in Hollywood, emulating successful campaigns in advertising, and “staying in our lane” or what we’re comfortable with in ou... See more

The tendency to think of A.I. as a magical problem solver is indicative of a desire to avoid the hard work that building a better world requires. That hard work will involve things like addressing wealth inequality and taming capitalism. For technologists, the hardest work of all—the task that they most want to avoid—will be questioning the assumpt

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The more I use AI, the more I realize ignoring its creative potential is like dismissing the ‘90s internet as a porn delivery system.

At first, I saw using AI as a binary choice between soulless efficiency or becoming a luddite and preserving your authentic human creativity.

Over the last few months, Claude has become my dream creative partner, and I... See more