Expert Vlogging Series 1.0: How to put AI ethics into practice? | Virginie Martins de Nobrega, AI Ethics and Public Policy Expert, Creative Resolution

This is the AI Policy Exchange Expert Vlogging Series featuring vlogs from our technical/policy experts addressing some of the hardest questions confronting the governance of artificially intelligent technologies.
In each AI Policy Exchange Expert Vlogging Series, we ask all our technical/policy experts a common question. Experts respond to the question through short, crisp, and illuminating vlogs sent to us. We then upload these vlogs to our YouTube channel and also post them on our website.
We posed the following question to our experts as part of our AI Policy Exchange Expert Vlogging Series 1.0: How to put AI ethics into practice? 
This question arose from findings by public policy and ethics researchers claiming that AI ethics principles & guidelines proposed by various public bodies and private groups in their current form likely have a negligible effect on the safe development, deployment, and use of artificially intelligent technologies.
Watch our twelfth vlog as part of the AI Policy Exchange Expert Vlogging Series 1.0 made by Virginie de Martins de Nobrega below.
Virginie joined AI Policy Exchange as a technical/policy expert earlier last month. Virginie is a seasoned professional in international development and passionate about tackling global challenges of social, economic, legal and political character to achieve progress for all. Back in 2008, during her Executive MBA, Virginie conducted research on the AI and innovation ecosystem within the United Nations to see how technologies could improve the efficiency and impact of the actions of the public sector on international development, from a programme management perspective as well as from a public policy perspective. Ever since, she has been advocating for responsible and ethical AI with strong human rights benchmarks to optimize the social impact of AI applications by tackling issues such as systemic inequalities and bias.
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