Updating the Data Science Ethical Framework

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The Mystic Meg junk science approach to policy making continues apace. There's big money in big data for technology corporations, like IBM, and providers of interventionist (eugenicist) solutions (most of the third sector rentseeking sector).

Updating the Data Science Ethical Framework

Innovations in data science provide huge opportunities to improve the way we develop policy, and design and deliver public services.

We need to make sure that we are responsible in the way we use data. So, last year, GDS published the beta version of the Data Science Ethical Framework.
There is nothing ethical about embedding confirmation bias to compel state dictated outcomes on everyone, as Scotland has sought to do with its GIRFEC hellbeing policy.The new totalitarians will all be salivating over the soon-to-be-mandatory Chinese social credit system for which UK citizens need to be suitably softened up.

If we use data to predict where those at high risk of domestic abuse were, before it happened, we could act to reduce the risk. Because we're talking about risk, are we pre-empting and labelling groups that haven’t actually experienced this outcome? Are we affecting an outcome that would otherwise not have occurred? On the other hand, failure to share data could lead to a negative outcome that could have been avoided – which is the ethical thing to do?
Truly hand-wringing stuff, but not one mention of the word consent in the article. People are not to be trusted to make their own choices if they tick any of the state's vulnerability boxes.

We worked closely with the British Academy and Royal Society reviewers of the 'Data management and use: governance in the 21st century' report to learn from their expertise.
 
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