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We need a systems-level lens on responsibility. This is not a simple equation of benefits and risks but a deep understanding of what could go wrong despite guardrails and how tenuous these guardrails are. Some of you are following the Anthropic  and DoD 'discussions".   Guardrails are about the power of "other" stakeholders. LLMs are broke but raise huge funds so guess the power is with investors, not the LLM companies themselves. Tech companies notional earning raise and fal

The infographic helps explain our recently published paper. At the heart of AI governance is the individual and the family. Most of the studies we reviewed did not mention the place of study (and so bias was not taken into account - data can be biased). And most studies focus on data (not hardware, which also raises many governance issues). We identified  14 themes and 104 governance challenges associated with the metaverse, based on a review of 101 papers. It is worth checki