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A batch of the best highlights from what Kevin's read, .
**Are you aware of the risks?**
You need to know about the reasonably foreseeable risks and impact of your AI product before putting it on the market.
If something goes wrong – maybe it fails or yields biased results – you can’t just blame a third-party developer of the technology.
And you can’t say you’re not responsible because that technology is a “black box” you can’t understand or didn’t know how to test.
Keep Your AI Claims in Check
Federal Trade Commission
You likely know what this means
even if you don’t know it in those words.
The hype cycle, as defined by Gartner, [which tracks it](https://www.gartner.com/en/chat/gartner-hype-cycle),
is that series of cyclical events
that happens around nearly all emerging technologies:
the breakthrough,
the “peak of inflated expectations,”
the disillusionment,
the period of actual serviceable uses of the tech,
and the time when it’s adopted.
That pinnacle is the groan time,
the moment Justin Bieber drops more than $1 million
on an NFT.
The moment Facebook buys Oculus.
The moment the bodega starts taking bitcoin
and you know you’ll never be able to escape this thing,
whatever it is.
This Is the Worst Part of the AI Hype Cycle
Angela Watercutter
SANS has published an [IT code of ethics](https://www.sans.org/security-resources/ethics)
Ethics and the IT Professional
Educause
...catch up on these, and many more highlights
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