Ethics of machine learning and emerging technologies

Learning objectives

Discuss the ethical issues raised by machine learning systems: accountability, algorithmic fairness, bias in training data, consent, environmental cost, privacy, security, wider social impact and transparency

Discuss how machine learning in online communication can spread misinformation, amplify bias, enable harassment and misuse anonymity, and suggest safeguards

Discuss the ethical questions raised as quantum computing, augmented and virtual reality and pervasive artificial intelligence enter daily life, with reference to individual rights, privacy and equity

Evaluate a real deployment of machine learning, such as automated hiring, predictive policing or medical triage, and recommend measures that make it fairer and more transparent