Accountable and Explainable AI
2:15pm - 4pm
Accountable and Explainable AI
Dr Sandra Wachter explores why accountability in AI-based systems is an ethical responsibility.
IMI Thematic Semester talk
When: Wednesday 7 March 2018, 2.15 - 4pm
Venue: University of Bath, Building 8 West, Room 2.1
Audience: FREE event at the University of Bath, open to all with a ticket
Artificial Intelligence (AI) and machine learning systems have recently been shown to be susceptible to biased and discriminatory decision-making. Detecting and fixing these problems is difficult due to the inherent opacity of these systems. In response, calls to make algorithmic decision-making systems more transparent, explainable, and therefore accountable can be seen in academic literature, policy proposals and laws, such as the EU’s General Data Protection Regulation. At the same time, explaining the functionality of complex algorithmic decision-making systems and their rationale in specific cases is a technically challenging problem. Some explanations may offer little meaningful information to individuals, raising questions around their value. Further, companies and governments have an interest to not disclose information about their algorithms that contain trade secrets, violates the rights and freedoms of others (e.g. privacy), or allows individuals to game or manipulate decision-making.
This talk explains why accountability in AI-based systems is an ethical responsibility, explores the legal requirements in the General Data Protection Regulation applicable to AI and examines if ‘counterfactual explanations’ can bridge the gap between transparency and competing interests.
Dr Sandra Wachter is a lawyer and Research Fellow in Data Ethics and Algorithms at the Oxford Internet Institute. She is also a Turing Research Fellow at the Alan Turing Institute in London, a member of the Law Committee of the IEEE and serves as a policy advisor for governments and NGOs around the world on regulatory and ethical questions concerning emerging technologies.
Sandra’s research focuses on the legal and ethical implications of Big Data, AI, and robotics as well as governmental surveillance, predictive policing, and human rights online. Her current research focuses on the ethical design of algorithms, including the development of standards and methods to ensure fairness, accountability, transparency, interpretability, and group privacy in complex algorithmic systems.
Sandra’s research also addresses legal and ethical aspects of robotics (e.g. surgical, domestic and social robots) and autonomous systems (e.g. autonomous and connected cars), including liability, accountability, and privacy issues as well as international policies and regulatory responses to the social and ethical consequences of automation.
2.15pm Dr Sandra Wachter talk3.00pm Question and Answer session3.30pm Refreshments4.00pm Close
This event is free to attend, but please register by Wednesday 28 February 2018. For further information please email firstname.lastname@example.org or visit the IMI webpage.
This event is part of the IMI Thematic Semester Machine Learning: Algorithms and Ethics and is arranged by both IMI and the Department of Computer Science at the University of Bath.