A4.4 Ethical considerations eBook
This subtopic explores key ethical issues in machine learning, including accountability, algorithmic fairness, bias, consent, privacy, security, societal impact, and transparency. It emphasises continually reassessing ethical guidelines as technology advances and integrates into daily life, considering implications for individual rights and equity A4.4.1 discusses ethical implications of ML in real-world scenarios:...