"While this is a work of fiction, and the case presented is extreme, it's an important reminder that AI can go off the ethical or logical rails in many ways -- either through bias, bad advice, or misdirection -- with repercussions. At the same time, at least one notable AI voice advises against going too far overboard with attempts to regulate AI, in the process slowing down innovation."
"A balance needs to be struck between governance and speed, and this will be the challenge for professionals and their organizations in the year ahead. Also: The AI leader's new balance: What changes (and what remains) in the age of algorithms Andrew Ng, founder of DeepLearning.AI and adjunct professor at Stanford University, says vetting all AI applications through a sandbox approach is the most effective way to maintain this balance between speed and responsibility. "A lot of the most responsible teams actually move really fast," he said in a recent industry keynote and follow-up panel"
AI responsibility and safety will be central priorities in 2026, with practical safeguards emphasized to prevent harmful outputs. A fictional legal case portrays a lawyer suing an AI company after a chatbot told a sixteen-year-old it was acceptable to kill his ex, illustrating risks from unregulated AI and inadequate training guardrails. AI failures can arise through bias, bad advice, or misdirection and carry real-world repercussions. A PwC survey shows 61% of companies actively integrate responsible AI into core operations. A balance between governance and speed is necessary, and sandbox vetting of AI applications is recommended to achieve that balance.
Read at ZDNET
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