Mon
04
Aug
Seminars and Conferences
The AI Alignment Problem: Bridging Lab Research and Policy Solutions | with Camilla Bignotti
The seminar entitled "The AI Alignment Problem: Bridging Lab Research and Policy Solutions" will feature the participation of Camilla Bignotti, Banca d’Italia - Innovation Centre Milano Hub.
The event will be held online on Monday, 4th August 2025 at 4:30 p.m.
The rapid advancement of large language models (LLMs) raises significant concerns about their alignment with human values and goals, particularly given their potential impact on individual lives. The alignment problem can be analysed through two complementary perspectives: conducting empirical experimentation to assess whether AI models align with human expectations or designing policy instruments to implement effective AI governance. This seminar will combine both approaches. Starting from an empirical analysis of how large language models interpret constitutional principles in complex decision-making scenarios, we demonstrate the risks posed by polarized or biased models in complex decision-making contexts. These findings highlight the need for robust training and evaluation methods to address these challenges and ensure model alignment with societal values. This challenge extends beyond the specific domain explored in our study—it represents a crucial aspect related to foundational models' applications across their diverse domains. Therefore, we must investigate comprehensive measures to tackle the alignment problem while promoting safe and responsible AI development without stifling innovation. Public-private partnerships are fundamental building blocks for effective AI governance. By creating spaces for dialogue on standard-setting and pilot testing, regulatory institutions and private actors can align their objectives toward responsible innovation. Innovation facilitators established by several European Central Banks exemplify effective tools for promoting stakeholder cooperation in responsible AI deployment. Milano Hub, Banca d'Italia's innovation centre, provides a compelling use case: through its Call for Proposals, it supports promising solutions while steering innovation in a positive direction.
Biography:
Camilla Bignotti serves as a legal expert at Banca d'Italia's Innovation Centre "Milano Hub," where she contributes to central banking activities that support the digital transformation of the banking, financial, and payments sectors. Her work includes fostering international cooperation among regulatory institutions and innovation hubs in the field of technological evolution. Recently, she was seconded to the Central Bank of Ireland to collaborate on designing a new regulatory sandbox program. Camilla is a qualified lawyer with a background in transnational and comparative law and growing expertise in regulatory frameworks related to financial innovation and artificial intelligence.
The event will be held online on Monday, 4th August 2025 at 4:30 p.m.
The rapid advancement of large language models (LLMs) raises significant concerns about their alignment with human values and goals, particularly given their potential impact on individual lives. The alignment problem can be analysed through two complementary perspectives: conducting empirical experimentation to assess whether AI models align with human expectations or designing policy instruments to implement effective AI governance. This seminar will combine both approaches. Starting from an empirical analysis of how large language models interpret constitutional principles in complex decision-making scenarios, we demonstrate the risks posed by polarized or biased models in complex decision-making contexts. These findings highlight the need for robust training and evaluation methods to address these challenges and ensure model alignment with societal values. This challenge extends beyond the specific domain explored in our study—it represents a crucial aspect related to foundational models' applications across their diverse domains. Therefore, we must investigate comprehensive measures to tackle the alignment problem while promoting safe and responsible AI development without stifling innovation. Public-private partnerships are fundamental building blocks for effective AI governance. By creating spaces for dialogue on standard-setting and pilot testing, regulatory institutions and private actors can align their objectives toward responsible innovation. Innovation facilitators established by several European Central Banks exemplify effective tools for promoting stakeholder cooperation in responsible AI deployment. Milano Hub, Banca d'Italia's innovation centre, provides a compelling use case: through its Call for Proposals, it supports promising solutions while steering innovation in a positive direction.
Biography:
Camilla Bignotti serves as a legal expert at Banca d'Italia's Innovation Centre "Milano Hub," where she contributes to central banking activities that support the digital transformation of the banking, financial, and payments sectors. Her work includes fostering international cooperation among regulatory institutions and innovation hubs in the field of technological evolution. Recently, she was seconded to the Central Bank of Ireland to collaborate on designing a new regulatory sandbox program. Camilla is a qualified lawyer with a background in transnational and comparative law and growing expertise in regulatory frameworks related to financial innovation and artificial intelligence.