This workshop brings together international researchers, practitioners, policymakers, and ethicists to discuss the crucial issues that arise at the intersection of data science, the life sciences, artificial intelligence (AI), and society. As these fields continue to advance rapidly, it is essential to address the policy and ethical challenges they pose to ensure responsible and beneficial outcomes for individuals and society as a whole. This workshop will examine the ways in which new data and AI technologies are developed, introduced, and implemented in the life sciences, industry, and society. It will give particular attention to a focus on economics and the advancement of the life sciences and their impact on health, the environment, and society. The sessions will explore how human, animal, and plant (organic) specimens and data are collected, processed, and used by science, industry, and government to address the needs of our societies. The role of various ML and AI models, their implementation, and their impact will be considered within the development of legal structures, policy, and governance models for new technologies, the life sciences, data, and AI. The workshop will examine how we can support the development of genomics, multi-omics, and the life sciences using policy and ethics to empower, not only our economies and healthcare systems, but also citizens by creating healthier and more harmonized societies.
The primary objective of the workshop is to foster interdisciplinary dialogue that encourages meaningful discussions and collaborations among experts from diverse disciplines engaged with data science, the life sciences, AI, policy making, and ethics. The following aims support this primary objective:
- Within the context of open science and new emerging technologies, the workshop will investigate the policy implications and considerations arising from the use of data science, the life sciences, AI applications, and their impact on society.
- The workshop will address the ethical challenges posed by the development and deployment of data science, life sciences, AI technologies and applications, and consider ethical frameworks for responsible innovation.
- The workshop will promote responsible practices that foster the adoption of responsible frameworks and conduct in data science, life sciences, and AI to safeguard privacy, equity, fairness, transparency, and accountability.
- The workshop will facilitate knowledge exchange by providing a platform for participants to share their research findings, best practices, case studies, and experiences related to policy and ethics in the intersecting fields.
- The workshop will examine pathways and methodologies for the development of state-of-the-art platforms for education and expertise development in ethics and governance to meet the needs of academia, industry, government agencies, and NGOs in developing young leadership for our digital societies.
👉 More information on the topics and the agenda