AI presents significant ethical challenges—bias in decision-making, data privacy violations, opaque "black box" algorithms, unclear accountability, and risks of militarization are all top concerns.
AI ethics isn’t about trusting machines—it’s about holding humans accountable. To address bias, privacy, and accountability, governance frameworks must enforce transparency, independent audits, and clear liability when harm occurs. Emerging examples like the EU AI Act show how rules can protect rights while encouraging innovation, but true progress will also require global coordination to avoid loopholes and misuse.