Everyone knows data ethics are important but ethics can mean different things. How do you decide on the ethical standards you want to uphold? You have a job to do and data that looks like it does it, so what next? Assessing the provenance, quality, scope and coverage of the data is just a starting point. Is there any underlying bias in the data – or in you!? And how do you deal with gaps or quality issues to ensure your solution meets the ethical standards you want to uphold?
Joseph Crispell is a data scientist in DFID/ONS data science campus. He has been working with the UNICEF Data for Children collaborative to start a project mapping HIV risk in adolescents. Before joining DFID, he worked in academia studying pathogen transmission between cattle and wildlife populations.
Olivia Gambelin is co-founder and CEO of Ethical Intelligence, an ethics consultancy who help companies create ethical policies and frameworks to enable them to innovate with confidence.
Kate Forbes MSP
Andrew Harmel Law
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Dr Poonam Malik, Ben Shorrock, David Dunn, Jane Morrison-Ross
Dr James McMinn
Alex Bell and Petur Einarsson
Overcoming and handling bias in data: ethical and practical considerations
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Start up, scale up
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Olivia Gambelin, Joseph Crispell
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Steve Guggenheimer, Corporate Vice President – AI & ISV Engagement at Microsoft Corporation
Young Software Engineer of the Year Awards
The YSE Awards recognise the best undergraduate software projects, drawn from across all students studying computing science and software engineering in Scotland.