AI for Social Good: Can it really change the world? We explore the potential and the pitfalls on this week’s AI Innovations Unleashed.
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AI for Social Good: Can it really change the world? We explore the potential and the pitfalls on this week’s AI Innovations Unleashed.
General Overviews & Introductions:
- “Artificial Intelligence and Life in 2030” (Stanford One Hundred Year Study on Artificial Intelligence): These reports offer in-depth analyses of the potential impacts of AI across various sectors, including its social implications. Look for reports specifically addressing societal impact.
- AI for Good (ITU & UN): This initiative focuses on how AI can contribute to achieving the UN Sustainable Development Goals. Their website and publications offer a wealth of information and case studies.
- “Ethics of Artificial Intelligence” (Stanford Encyclopedia of Philosophy): A good starting point for understanding the philosophical considerations surrounding AI ethics.
Bias and Fairness in AI:
- “Gender Shades: Intersectional Accuracy Disparities in Facial Recognition” by Joy Buolamwini and Timnit Gebru: A seminal paper highlighting bias in facial recognition technology.
- “Automating Inequality” by Virginia Eubanks: Explores how automated systems perpetuate social inequality.
- “Weapons of Math Destruction” by Cathy O’Neil: Discusses how algorithms can amplify bias and discrimination.
AI in Healthcare:
- “Deep Medicine” by Eric Topol: Explores the potential of AI to revolutionize healthcare.
- Articles in Nature Medicine, The Lancet Digital Health, and JAMA: Look for studies on the use of AI in diagnostics, treatment, and drug discovery.
- WHO guidelines on AI ethics and governance for health: The World Health Organization has publications and resources related to this topic.
AI in Disaster Relief:
- Papers on using AI for disaster prediction and response: Search academic databases like IEEE Xplore and ScienceDirect for relevant research.
- Reports from organizations like the UN OCHA and the Red Cross: These organizations often use AI in their disaster relief efforts and publish reports on their experiences.
- News articles and case studies: Look for examples of how AI has been used in real-world disaster situations.
AI and the Future of Work:
- “Human + Machine” by Paul R. Daugherty and H. James Wilson: Explores how humans and AI can work together effectively.
- “Rise of the Robots” by Martin Ford: Discusses the potential impact of automation on the job market.
Ethical Frameworks and Guidelines:
- IEEE Ethically Aligned Design: Offers a framework for designing and developing ethical AI systems.
- The Asilomar AI Principles: A set of principles for the ethical development of AI.
- National AI strategies from different countries: Many countries have published their own AI strategies, which often include ethical considerations.
Organizations and Initiatives:
- Partnership on AI: A multi-stakeholder organization focused on responsible AI development and deployment.
- AI Now Institute: Focuses on the social implications of AI.
- Leverhulme Centre for the Future of Intelligence: Explores the philosophical and ethical implications of AI.
