Increased profits by reducing labor costs: This has been true for all innovations since the wheel. The desired outcome is to improve efficiency and profitability, not just for companies but also for individuals, such as small farmers. Watch this season of Clarkson's Farm to see how it helps small farmers.
Adding skills to people who lack them: From accessibility to creativity, this also has a long history. The desired outcome is to enable people with disabilities to interact with the world in ways they only dreamed of years ago, and to empower people with ideas to bring them to life where there was no chance before.
Security: Software is now too complex. It’s built on packages that may contain unknown weaknesses. AI reveals just how insecure things really are. These tools are out there and are constantly improved by bad actors. To prevent attacks, we should use AI to proactively find and suggest fixes for our software. Our goal is to stay ahead of bad actors and reduce risks in the coming years, which may be challenging.
Innovation: There is hope. Just as AI found novel ways to win at Go, it may develop solutions to unsolved problems.
The huge con is that it could put most out of work. But the desired outcome is to transition to a society where, with support like UBI funded by corporate taxes, people can focus on creativity and innovation. There will be major resistance and likely a period of economic difficulty. However, the real question is: do we ban AI in the US while the rest of the world advances, risking our global standing?
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