governance 5

A podcast host sent me eight questions. Instead of rehearsing answers in my head, I used ChatGPT with Local MCP to read 6 months of call transcripts and find the best examples: Iteration 1: Here are questions I have been asked to answer in a podcast. Help me prepare with examples. For each question, go through my transcripts or emails and find examples relevant to the question and share (for each relevant example) a summary, how it’s relevant, and the relevant verbatim quotes from the transcript. Iteration 2: Mention WHO said it. Emphasize the most important parts. Do a second pass. More examples. Disprove your own hypotheses with evidence to the contrary and retain what remains robust. Iteration 3: Do a third pass. Find more real-life examples. Try and disprove yourself even harder. Share the best examples for what survives - not all. Same format. Iteration 4: Ensure diversity of client examples. For example, in Q2, all three are the same client. Extend to add / replace examples - ideally with better ones. Then I used Claude with examples of my writing style to summarize it in my voice. ...

I researched the AI policies across 25 universities. In the last 6 months, I conducted sessions at three of these Universities: IIT Madras, Singapore University of Technology and Design, and Ashoka University. Interestingly, these are the three lowest ranked universities in my analysis of AI policies. This is where I’m glad that correlation does not imply causation.

“Humans can be held to account. Not AI.” I hear this often. But it’s not true. Corporations are non-human, but they can enter into contracts and face criminal charges. Ships can be sued directly. Courts can arrest the vessel itself. Deities and temples in India can own property. Forests and rivers in New Zealand, Colombia, Spain, have been granted legal personhood. Medieval Europe has held animal trials (e.g. for “guilty” pigs). ...

The Global Corruption report.

CIOL’s e-governance channel