International Baccalaureate IB Computer Science
A.4.4.1 ML Ethics in Practice
Discuss the ethical implications of machine learning in real-world scenarios. - Ethical issues may include accountability, algorithmic fairness, bias, consent, environmental impact, privacy, security, societal impact, transparency. - The challenges posed by biases in training data - The ethics of using machine learning in online communication may include concerns about misinformation, bias, online harassment, anonymity, privacy.
A.4.4.2 Tech Ethics in Daily Life
Discuss ethical aspects of the increasing integration of computer technologies into daily life. - The importance of continually reassessing ethical guidelines as technology advances - The potential implications of emerging technologies such as quantum computing, augmented reality, virtual reality and the pervasive use of AI on society, individual rights, privacy and equity