How can you use AI in science and which limits exist to responsible AI use?
Overview
While AI accelerates research by improving data analysis, modeling, and automation, it also presents challenges like biased learning datasets, lack of transparency, and issues of reproducibility. The EU AI Act serves as a significant regulatory framework addressing some of these challenges, with a risk-based approach that promotes accountability, transparency, and human oversight. While the law sets guardrails, ethical standards are crucial to ensure fairness, prevent harm, and uphold human rights as well. Together we will explore ethical challenges and discuss approaches to use AI responsibly.
Language
English
After this Exper Talk, you will be able to:
- understand the role of AI in research
- identify key challenges in AI use – such as biased datasets, lack of transparency, and reproducibility concerns
- understand the key principles of the EU AI Act, including its risk-based approach to regulation and accountability
- evaluate ethical considerations in AI and the implications for fairness, human rights, and responsible use
- apply responsible AI practices to ensure transparency, mitigate bias, and integrate ethical standards into AI-driven research
- engage in critical discussions on AI ethics and collaboratively explore solutions for responsible AI usage
This Expert Talk is open for everyone.