Do we need AI regulation?
In the modern world, AI is everywhere, powering a variety of applications from enterprise business intelligence tools to sorting through photos of our pets. But as the technology becomes more and more widespread, concerns have been raised about the potential dangers that could be posed by unrestrained AI development.
Calls have been intensifying from campaigners seeking guardrails on how AI systems are developed, and the kind of use-cases they’re applied to, with opponents arguing that legislation governing AI development would only stifle innovation. Joining us this week to discuss the feasibility of AI regulation, the need for AI codes of practice and the responsibility of organisations to ensure ethical development is Cindi Howson, chief data strategy officer for analytics software vendor ThoughtSpot.
Head to https://bit.ly/ITPP-regs for more information on the topics covered in this week's episode.
Calls have been intensifying from campaigners seeking guardrails on how AI systems are developed, and the kind of use-cases they’re applied to, with opponents arguing that legislation governing AI development would only stifle innovation. Joining us this week to discuss the feasibility of AI regulation, the need for AI codes of practice and the responsibility of organisations to ensure ethical development is Cindi Howson, chief data strategy officer for analytics software vendor ThoughtSpot.
Head to https://bit.ly/ITPP-regs for more information on the topics covered in this week's episode.