About Me
Hi! I'm Giorgio Franceschelli. I'm currently a PhD student at University of Bologna, working on creativity, deep learning and reinforcement learning. I'm interested in anything related to them, from generative modeling and intellectual property to art history, neuroscience and ethics.
Latest News
- April 2024 - Panelist for New Technologies, Creativity and Ethical Issues: Copyright Challenges in the Age of AI at Bologna Children’s Book Fair.
- March 2024 - Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning, prepring available.
- February 2024 - Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges published in Journal of Artificial Intelligence Research.
- November 2023 - Short interview for Business Insider on the legality of training generative AI with copyrighted materials.
- November 2023 - ISA Doctoral Prize for interdisciplinary PhD research.
- October 2023 - “Artificial creativity” talk at MilaNLP Lab (Bocconi University).
- October 2023 - Short interview for The Atlantic on opt-out and Generative AI.
- September 2023 - Joining UCL Computer Science for three months as a visiting PhD student.
- September 2023 - On the Creativity of Large Language Models among MAIEI briefs!
- July 2023 - Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges, preprint available.
- June 2023 - Short interview for IEEE Spectrum on AI and Intellectual Property.
- April 2023 - On the Creativity of Large Language Models, preprint available.
- April 2023 - Short interview for The Atlantic on Chatbots and Creativity.
- December 2022 - DeepCreativity: Measuring Creativity with Deep Learning Techniques published in IOS Press, Intelligenza Artificiale.
- November 2022 - Short interview for The Verge on AI and copyright.
- November 2022 - “Opere d’arte e intelligenza artificiale. Il curioso caso del diritto d’autore” workshop at Accademia di Belle Arti di Verona.
- July 2022 - “Copyright in Generative Machine Learning” webinar at MIT Media Lab.
- May 2022 - Copyright in Generative Deep Learning published in Cambridge Press, Data&Policy.
- February 2022 - “Machine Creativity and the Law” webinar at Adobe.
- January 2022 - DeepCreativity: Measuring Creativity with Deep Learning Techniques, preprint available.
- December 2021 - Master’s dissertation presented at AIxIA 2021.
- November 2021 - Master’s dissertation Generative Deep Learning and Creativity awarded as best Master’s thesis by the Italy Association for Artificial Intelligence (AIxIA award Leonardo Lesmo).
- November 2021 - Starting of PhD in Computer Science and Engineering at University of Bologna.
- May 2021 - Copyright in Generative Deep Learning, preprint available.
- April 2021 - Creativity and Machine Learning: A Survey, preprint available.
- Februray 2021 - Graduated in Computer Engineering at University of Bologna cum laude.