Who’s to Blame When AI Gets Code Wrong? The Hidden Dangers of Accountability in AI-Generated code

When AI writes or modifies code, who takes responsibility if something goes wrong? Without clear accountability, mistakes could lead to serious issues—bugs, security risks, or system failures. It’s crucial to remember that AI is a tool, not a decision-maker. Human oversight and responsibility must always come first. #AI #tech #accountability #ethics

from Mpho Dagada https://www.youtube.com/watch?v=dMw-pj_G-Y8