The Ethics of Artificial Intelligence for the Sustainable Development Goals

lt;b>Francesca Mazzi is a postdoctoral research fellow in AI and Sustainable Development at Saïd Business School, University of Oxford, and a research associate at the Digital Ethics Lab of the Oxford Internet Institute, University of Oxford. She is part of the Oxford Initiative on AI×SDGs, aimed at investigating how artificial intelligence (AI) has been and can in the future be used to support and advance the United Nations Sustainable Development Goals (SDGs). In her research, Francesca analyses existing AI for SDGs projects to map best practices, lessons learned, eventual gaps and potential solutions for the purpose of helping existing and future, public and private stakeholders operating within the sustainable development space. Her research interests range from the intersections between technology, law, and ethics, to policymaking and regulations in relation to challenges and opportunities arising in the Fourth Industrial Revolution era. From 2017 to 2020 she was a Marie Sklodowska-Curie Early Stage Researcher within the EIPIN- Innovation Society in a double doctorate program between Queen Mary University of London and Maastricht University. The Ph.D. research project concerned the patentability of AI generated inventions and a case study on the pharmaceutical industry, with two partner organizations, Hovione and the European Federation of Pharmaceutical Industries and Associations. Francesca obtained the CIPP/E (Certified Information Privacy Professional/Europe) Certification from the International Association of Privacy Professionals in April 2018. She holds a LL.M. in computer and communication law from Queen Mary University of London, and a master's degree in law from Luiss Guido Carli University. She is a qualified lawyer in Italy.

Preface.- General Part.- Chapter 1. Setting the scene: Artificial Intelligence for the Sustainable Development Goals.- Chapter 2. The Golden rules for ethical AI.- Chapter 3. AIxSDGs projects.- Chapter 4. Business model desirable to incentivise AIxSDGs projects.- Chapter 5. AI helping decision-making processes to achieve the SDGs.- Chapter 6. AI and circular economy for SDGs.- Chapter 7. Analysis of SDGs that mostly benefitted from an AI approach.- Chapter 8. AI for sustainable industrial growth.- Chapter 9. Case studies on AI for clear water and sanitation.- Chapter 10. The potential of AI for education.