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> The conference has six focuses: AI in Drug Discovery, AI in Diagnostics, AI for Operational Efficiency, AI in Remote Healthcare, AI in Regulatory Compliance, and AI Ethics. Every single theme of this conference has converged onto AI as the only thing worth discussing.

I experienced the same situation at the human factors and ergonomics society (HFES) annual conference a few months ago. This was fine for me because I'm part of the (relatively small) AI/ML group at my company, which has traditionally focused on developing human factors engineering solutions and services. In fact the reason I was sent to HFES was to help bridge my background (phd in computational neuro) to the broader company mission. And to be honest I was looking forward to hearing (what I assumed was going to be) a wide diversity of talks. I mean, ergonomics... there will probably be like companies presenting next generation office chair designs or some shit, I thought. Instead I estimate that 50% of the talks were on one of three topics: AI trust, Explainable AI, or Human-AI teaming. Another 30-40% were on some other AI related issue, with the remaining 10-20% accounting for all other possible topics related to human factors and ergonomics.

I wonder what will be the repercussions from this current hyper-obsession with AI, and the resulting neglect to many other viable areas of research. I foresee a near future where chairs are packed with AI features, and are the source of much back pain.