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AI ethicist role (JD for all of it) Ideal (Medium to Long term)
junior role AI ethicist
mid-tier role AI ethicist
senior role AI ethicist
(consider private and public sector - consider the differences)
What would it mean to spread these capabilities across a digital AI multi-disciplinary team? (short term)

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Risk Framework -  risk, impact and possible mitigation

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Risk Framework -  risk, impact and possible mitigation

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Common threads, planks from other areas - making it pragmatic,
- key common risks from already published frameworks related to government
- possible mitigations that might be taken by government
- practical examples (good examples, and where things might have been better)

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^ added a comment above, would love to explore the risks of generative AI and how best to mitigate them

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^ added a comment above, would love to explore the risks of generative AI and how best to mitigate them

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Build-buy considerations / guide for public sector agencies?

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Build-buy considerations / guide for public sector agencies?

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How can foundation models (e.g. ChatGPT) best be used in our organisations/services?

- Alternatives to OpenAI?
- Value in training own models?
(by InnoLab)

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Building on from the MVP, we look at public vs private sector setups and then work towards what the team may look like with JDs (one or two) 

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Building on from the MVP, we look at public vs private sector setups and then work towards what the team may look like with JDs (one or two) 

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Private Sector AI Ethicists vs Public Sector Ethicists
What should Data Ethicists cover?  (not only regs, policy, social contexts) Are there different types of AI Ethicists

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What are the outputs the group might focus on, based on the chosen objective?

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What are the outputs the group might focus on, based on the chosen objective?

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Which of these objectives will create the most value for the DGX group? 

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Which of these objectives will create the most value for the DGX group? 