Ethical AI and bias mitigation

Ethical AI refers to the development and deployment of artificial intelligence systems in a manner that aligns with ethical principles and values. This includes ensuring fairness, transparency, accountability, privacy, and inclusivity throughout the AI lifecycle. Bias mitigation involves identifying and addressing biases in AI systems to prevent discriminatory outcomes and ensure equitable results for all individuals or groups impacted by AI technologies. Techniques for bias mitigation include data preprocessing, algorithmic adjustments, and ongoing monitoring and evaluation.