The AI Governance Gap
A piece published in Hungarian Conservative addresses what it characterizes as a gap in AI governance, pointing to unresolved questions about how artificial intelligence is overseen and regulated.
Why this matters: AI governance gaps are not abstract policy problems. They decide who is accountable when an AI system causes harm, discriminates, or leaks data. Without clear rules, companies fill the void with self-regulation, which usually means protecting themselves first. The people most affected by AI decisions often have the least say in how those systems are built or checked.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
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