Another dot in the blogosphere?

The Age of AI 3

Posted on: December 28, 2019


Video source

This episode focused on how we might use artificial intelligence (AI) to augment ourselves to end human disability.

The first example in the video was artificial legs with embedded AI. The AI used machine learning to process a person’s movement to make the continuous and tiny adjustments that we take for granted. What was truly groundbreaking was how such limbs might be attached to existing muscles so that the person can feel the artificial limb.

The second example was improving existing abilities like analysis and decision-making in sports. The role of AI is to take large amounts of data and make predictions for the best payoffs. But despite the AI ability to process more than humans can intuit, we sometimes hold AI back because its recommendations seem contradictory.

We trust AI in some circumstances (e.g., recommending travel routes) but not in others (e.g., race strategies). The difference might be the low stakes of the former and the higher stakes of the latter.

The third example highlight how we might enhance our vision and hearing while increasing trust in AI in high stakes situations. It featured glasses that augmented vision for firefighters so that they could see is now or zero visibility. The camera and AI combined detect and highlight edges like exits and victims.

The video ended with the message that increased trust in AI will make it ubiquitous and invisible. But trust to be built, we need to remove ignorance, bias, and old perspectives.

AI can be a tool that we shape. But I am reminded of the adage that we first shape our tools and that our tools also shape us. This was true in our past and it will apply in our future.

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