Expert Vlogging Series 1.0: How to put AI ethics into practice? | Ana Chubinidze, AI & Data Governance Professional

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 sixth vlog as part of the AI Policy Exchange Expert Vlogging Series 1.0 made by Ana Chubinidze below.
Ana joined AI Policy Exchange as a technical/policy expert later last month. Ana made her foray into AI policy during her research fellowship with the Regional Academy on the United Nations (RAUN) where she worked on a policy paper in cooperation with UNDP discussing anticipatory regulations for harnessing AI for the greater good. Following this, for her master’s thesis, Ana researched the influences of content personalization on personal autonomy. A short summary of her thesis has been published by the Royal Society for the encouragement of Arts, Manufactures and Commerce (London). Ana recently joined the founding editorial board of Springer Nature’s new AI and Ethics journal. She constantly strives to expand her understanding of AI with various online courses in data science, neuroscience and quantum machine learning. Ana believes that concerted efforts are needed to make AI policy-making more inclusive and pragmatic.
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