Toward a Human-Centered Framework for Trustworthy, Safe and Ethical Generative Artificial Intelligence: A Multi-Level Analysis of Large Language Models Social Impact
This research proposal aims to comprehensively explore the trustworthy, safe, and ethical use of Generative Artificial Intelligence (GAI), particularly Large Language Models (LLMs). To this end, we examine the risks and potential social hazards of LLMs, adopting a multidimensional approach—social, political, and ethical— involving various stakeholders, including the AI industry, governmental institutions, and regulatory organizations, among others. This strategy allows for offering a research proposal grounded on cybersecurity’s social and technological dimensions and providing a comprehensive diagnosis, including perceived challenges in the AI industry, regulations debate, challenges in governance, etc. By delving into these areas, we aim to design a post-audit tool to ensure models are trustworthy, socially responsible, and in alignment with human rights. Additionally, we aim to encourage responsible AI Innovation through Ethics-Driven Incentives.
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Tue 18 JunDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
14:30 - 15:50 | |||
14:30 20mTalk | Cultural and Socio-Technical Aspects in Software Development Doctoral Symposium Stefano Lambiase University of Salerno Pre-print | ||
14:50 20mTalk | Design and Evaluation of High-Quality Symbiotic AI Systems through a Human-Centered Approach Doctoral Symposium Miriana Calvano University of Bari Pre-print | ||
15:10 20mTalk | Toward a Human-Centered Framework for Trustworthy, Safe and Ethical Generative Artificial Intelligence: A Multi-Level Analysis of Large Language Models Social Impact Doctoral Symposium Berenice Fernandez Nieto University of Bari "A. Moro" File Attached | ||
15:30 20mTalk | Human-Centered Interventions to Empower Gender Diversity in Software Engineering Doctoral Symposium Claudia Maria Cutrupi Norwegian University of Science and Technology (NTNU) |