This might be interesting: Zachary C. Lipton, blogging at Approximately Correct, announced a series of blog posts on what he claims to be an AI Misinformation Epidemic.

When you put it “announced a plan to write”, it sounds surprisingly lame… but thus far we have only the outline of the posts-to-be.

OTOH the topic is important: advances in AI (or to use the boring word, statistical machine learning) are both likely to change the society in some way in near future and not be as impressive as in the oversold promises of singularity or post-scarcity.

To quote Lipton,

Much of this attention is warranted. Breakthroughs in computer vision, speech recognition, and, more generally, pattern recognition in large data sets, have given machine learning substantial power to impact industry, society, and other academic disciplines.

Like the internet before it, machine learning now stands poised to impact diverse areas of the economy. Whether you work in government, medical imaging, car services, the law, or recycling, there’s good reason to believe that machine learning will impact your life and finances.

[…]

Complicating matters, the wave of enthusiasm for / interest in machine learning has spread far beyond the small group of people possessing a concrete sense of the state of machine learning. Both in industry and the broader public, many people know that important things are happening in machine learning but lack any concrete sense of what precisely is happening.

This pairing of interest with ignorance has created a perfect storm for a misinformation epidemic. The outsize demand for stories about AI has created a tremendous opportunity for impostors to capture some piece of this market.

I agree with all of the above. Hopefully we soon can read the actual articles…?