𝗔𝗜 𝗶𝘀𝗻’𝘁 𝘀𝘁𝗮𝘁𝗶𝗰—𝘀𝗼 𝘄𝗵𝘆 𝗶𝘀 𝗼𝘂𝗿 𝗿𝗲𝗴𝘂𝗹𝗮𝘁𝗼𝗿𝘆 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝘀𝘁𝘂𝗰𝗸 𝗶𝗻 𝗻𝗲𝘂𝘁𝗿𝗮𝗹? AI's rapid evolution means new benefits are accompanied by equally new harms. From privacy invasions and bias amplification to unintended outcomes in high-stakes decisions, AI risks keep shifting. Yet many regulatory frameworks remain fixed, reactive, or narrowly defined. The solution? Regulatory approaches must evolve alongside AI itself, proactively factoring in emerging harms, ensuring fairness, accountability, and transparency aren't afterthoughts, but foundational. We need regulations that are dynamic, forward-looking, and ready to adapt to the unpredictable nature of AI. Because in a world where technology moves at lightspeed, static regulation isn't just outdated, it’s dangerous. What emerging AI risks do you think regulators need to prioritize next? #AIRegulation #AIHarms #ResponsibleAI
