Ethics in Technology: Understanding AI Implications

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (31)

Page 1 of 4

Ethics in Artificial Intelligence: Key Considerations

Discusses the ethical implications of artificial intelligence for engineers and its regulatory context.

Ethics of AI: Data, Algorithms, and Integration

Explores the ethical challenges of AI, including data ethics, algorithm ethics, and societal impact.

Ethics and Law of AI

Delves into ethics and law in AI, focusing on values, normative ambitions, and ethical challenges.

Data Ethics: Al & Equality

Explores data ethics, focusing on fairness, justice, and Al systems' broader implications.

Energy Systems Optimization

Introduces a course on modeling and optimizing energy systems, emphasizing the importance of informed decision-making and teamwork in addressing energy challenges.

Engineering in the Age of AI: Innovations and Challenges

Examines the transformative impact of AI on engineering disciplines and the associated challenges.

Ethics in Natural Language Processing: Addressing Bias and Misinformation

Covers ethical considerations in NLP, focusing on bias, toxicity, and misinformation.

Ethical Challenges of Engineering

Explores ethical integration in action, the common good, justice, and a major automotive scandal.

The Ethics of AI: Autonomy and Responsibility

Explores the ethical aspects of AI, emphasizing autonomy, responsibility, and accountability in innovation processes.

The Impact of Technological Advancements in 1999

Explores the impact of technological advancements in 1999 and the importance of ethics in education and society.