Information technologies are transforming our society at what seems to be an accelerating pace. Data and information play a central role in all aspects of our lives鈥攁nd their role is growing as digital sensors transform our actions into new data. While this may bring many benefits, it also poses significant risks and challenges.
Artificial intelligence (AI) has been dominating headlines. These powerful, data driven technologies offer enormous potential but can also pose risks. Some of the issues at the intersection of data and AI include how to access the data needed for AI while respecting both privacy and intellectual property law; how to facilitate safe data sharing; and how to ensure that data are of suitable quality. At the same time, we need to consider how to govern AI technologies in a way that respects privacy, human rights, safety and security, as well as the environment.
Led by Dr. Teresa Scassa, the Chair鈥檚 work explores the interrelated concepts of ownership, control, transparency, and good governance in this rapidly evolving information context. She and her research team are examining issues of AI and data governance. They are also exploring questions about the rights involved in access to and use of data in the hands of others, and about how to achieve transparency in data-driven decision-making in the public and private sectors.
Through her research, Dr. Scassa seeks to ensure the development of legal frameworks for data and information that are sensitive to the needs and concerns of multiple stakeholders, and that ensure appropriate levels of transparency and access in an increasingly data-driven society.
