This is a post authored by Mr Abhivardhan, our Chairperson.
Seems a lot of news around #OpenAI, #ScarlettJohansson and #JanLeike has bewared everyone.
Incidentally, Scarlett's voice was cloned as the 'Sky' voice by OpenAI without her consent, despite her disagreeing during negotiations to use her voice for such commercial reasons. When she had to lawyer up, the AI voice was taken down reluctantly by OpenAI.
Meanwhile, as Jan leaves OpenAI, he remarks on X (Twitter) that OpenAI must prioritise "security, monitoring, preparedness, safety, adversarial robustness, (super)alignment, confidentiality, societal impact, and related topics" as an "AGI Company".
While Jan's perspective on AGI can be questioned legitimately, (since trajectory of #AGI is half-baked) these incidents of AI #whitewashing for years by OpenAI and others, explains that outright ban of #artificialintelligence is not a sensible idea.
At the same time, standardising AI could be helpful for technology companies, and professionals, so that effective jurisprudence is developed, and better ethical practices are encouraged to promote AI innovation at all economic levels, in a safe & transparent manner.
But what could be those means to standardise AI? Vehement anti-competitive regulation does not help. However, accountability still matters.
In #patents and #designs, and #copyright, AI-related IP rights issues are kinda legal & economic due to the sense of challenging traditional ways of IP protection.
In #corporategovernance and #corporateresponsibility, oversight over the proliferation of AI models, and selling AI products and services becomes important to address.
This is why I agree with Prof. Soumitra Dutta of Said Business School, Oxford, when he had once stated in a lecture that red-teaming on AI is the best way forward.
Let me honourably introduce three advanced artificial intelligence and law training programmes by Indic Pacific Legal Research LLP:
1️⃣ Level 1 - Artificial Intelligence and Law Fundamentals
[6-week Access (Self-paced), 50+ Model Exercises, Lecture Notes of 280+ pages]: https://www.indicpacific.com/challenge-page/ailaw101
2️⃣ Level 2 - Artificial Intelligence and Intellectual Property Law
[12-week Access (Self-paced), 30+ Case studies, Lecture Notes of 400+ pages]: https://www.indicpacific.com/challenge-page/aiip101
3️⃣ Level 3 - Artificial Intelligence and Corporate Governance
[15-week Access (Self-paced), 80+ Model Exercises, 25+ Case studies, Lecture Notes of 400+ pages]: https://www.indicpacific.com/challenge-page/aicorp101
Do check out this video trailer about these training programmes as I will unravel more about each of these training programmes in detail in the coming days.
Indic Pacific releases 3 Artificial Intelligence and Law Training Programmes