Steve Miller: Will AI Take Your Job? It's Not So Simple.On human-AI collaboration, automation vs. augmentation, AI adoption, and what this all means for workers and companies.
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January 2023

CNET finds that AI-assisted writing isn't as easy as it bargained, and masking-based self-supervised learning makes strides (+ Author Q&A)
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Blair Attard-Frost: Canada’s AI strategy and the ethics of AI business practicesOn AI Governance in general and in Canada in particular, and a review of 47 AI business ethics guidelines
In which we discuss AI for creating proteins and generating electronic health records.
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Zac Cogley considers the design of robots that would be responsive to human criticism and blame.
Kenneth Li describes evidence suggesting world models.
Linus Lee: At the Boundary of Machine and MindOn language, notation, better tools and mediums for thought
Forums, AI conferences, and schools contend with the realities of ChatGPT and robots perform tasks specified using both images and text.
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Suresh Venkatasubramanian: An AI Bill of RightsOn the algorithmic lens, legislating AI, and making policy as a technologist
In which we discuss Google's response to ChatGPT and zero-shot text-to-speech synthesizers
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Pete Florence: Dense Visual Representations, NeRFs, and LLMs for RoboticsOn how robotics can benefit from dense visual representations, neural radiance fields, and large language models
Selected trends from a speedy year in AI, and the relationship between in-context learning and gradient descent
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