Putting ethical values and principles into practice across your AI project lifecycle | S. Jayadeva

Speaker: Smera Jayadeva, Researcher in Data Justice and Global Ethical Futures under the Public Policy Programme of the Alan Turing Institute
The artificial intelligence project lifecycle is affected by the intertwined relation between technology and social structures (e.g. the people in the AI project and the environment in which the project team operates). Both elements interact and influence each other.
Acknowledging data-driven technologies as both social and technical constructs is important, because it prompts us to recognise that, from the earliest stages of the AI project lifecycle, human choices, interests, and values are integrated into AI project design, model development, and system deployment. In this session, researchers form The Alan Turing Institute will introduce participants to the AI Ethics and Governance in Practice Programme, which provides the tools, training, and support to carry out projects that apply principles of AI ethics and safety to the design, development, and deployment of algorithmic systems. These include sustainability, fairness, technical safety, accountability, explainability, and data stewardship. Attendees will also engage in discussions around the challenges and opportunities for AI innovation, and how to ensure that AI is produced and used ethically, safely, and responsibly.
This talk is part of the Liverpool Virtual Seminar Series on Data Intensive Science; more information can be found at indico.ph.liv....
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