When an automated car crashes, who is responsible? The driver? The programmer? The car company? As AI systems make decisions that impact human lives, building ethical frameworks and policies is critical.
The Core Dilemmas of AI Ethics
We must establish rules for transparency (understanding why a model made a decision), accountability (who is responsible for errors), and safety (preventing systems from causing harm).
Without policy, systems can be deployed that violate privacy rights or generate dangerous content without consequences.
Global AI Policy Frameworks
Governments are passing laws like the EU AI Act, which categorizes systems by risk. High-risk systems (like medical software or credit scoring) face strict compliance audits before they can be used.