AI Ethics & Technical Governance Research
The Web Institute’s research on AI Ethics seeks to examine how we can amplify the benefits of artificial intelligence while minimizing its risks.
We explore a range of issues such as algorithmic bias, explainable AI (XAI), privacy, transparency, AI business models, hallucinations, AI computing, technical governance, AI risk management, responsible AI, machine ethics, AI policy and regulation.
- Ethical implications of AI-driven personalization:
- Forced AI - Exploring the data consent practices of big tech companies
- AI job replacement is real - The most vulnerable job titles
- The Arms Race in AI military technologies - A global perspective
- A literature review of AI governance frameworks - Challenges & Opportunities
- Ethical issues of smart cities - Balancing innovation with privacy and security
- AI and autonomous weapons: Ethical implications and legal challenges
- The role of AI in cyber warfare: Defense and Offense
- Computing your way to superintelligence - Why it can't be done
- Self-Learning AI and Edge Cases: Where continuous learning fails
- How Data Leakage Affects AI Ethics and Bias in Machine Learning Models
AI ethics articles
- AI regulation in North America: Current policies and future trends
- AI governance in Europe - Navigating strict regulation & innovation
- AI policy landscape in Asia - Balancing growth and ethical considerations
- AI regulation in Africa - Emerging trends and continental collaboration
- AI regulation in Australia - Addressing ethics & innovation
- AI policy in South America - Challenges and opportunities in the digital age
Global AI Regulation & Policy Mapping Series
