Core Ethical Principles
Transparency
Ensuring AI systems are explainable and decisions can be audited by stakeholders.
Fairness
Designing systems free from algorithmic bias affecting protected groups.
Accountability
Establishing clear responsibility chains for AI decisions and outcomes.
Current Ethical Challenges
Bias Amplification
Hidden biases in training data can unintentionally magnify societal inequalities.
Privacy Risks
Balancing personal privacy with the data needs of modern AI systems.
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