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For those who asked, here's a quick recap of my comments from the plenary on 'A #Data Driven World – Can we Ensure #Privacy?' at @OECD #GoingDigital. 1. Innovation is not in opposition to privacy: innovation *in* privacy is a huge opportunity, and a competitive advantage. 1/n
2. Framing and narratives matter. Seeing #data only as an asset (oil, gold, currency, etc) ignores implicit risks. Also seeing it as radioactive (with a half-life), an externality, a ticking time bomb, a liability, etc helps to locate it in a larger ecosystem. 2/n #GoingDigital
3. To a tech hammer, every socioeconomic problem looks like a tech nail. Informational asymmetries and power imbalances require attention to complex structural issues, not just on deployment of one size fits all tech solutions in a box. 3/n #GoingDigital
4. The rest of the world are not just targets of development, but participants. Also, lead by example, developed countries: developing nations copying the worst of your tech/practices absent the legal safeguards and social norms to protect users = Not Good. #GoingDigital 4/n
5. It's easy to be glib about #privacy invasions ("so what if the govt/corps. know my Netflix viewing history?"). But even if folks glaze over at human rights, they do care about cost. Personalization --> price discrimination gets people fired up It's a start. #GoingDigital 5/n
6. It's been hard to get people to care about #privacy and not see it as anachronistic/irrelevant. Other human rights violations evoke visceral reactions (the "no dead bodies in privacy" argument). Orgs like @OECD can help measure harm & costs, make them visible #GoingDigital 6/n
I didn't have time to mention a few important things. 7) I wanted to underline the importance of #privacy by *default*, not just design more broadly. This shifts power, control and expectations away from weak to strong, is rooted in behavioural reality (nudges). #GoingDigital 7/n
8) It's not about more data but better data. Quality, integrity, fitness for purpose improve signal to noise, while diverse datasets mitigate against bias/unfairness. Innovation doesn't always require personal data, business models mostly do. Shift incentives. #GoingDigital 8/n
None of this is groundbreaking or revolutionary, but it seemed worth repeating to an audience committed to digital transformation. As @OECD wraps up this phase of #GoingDigital, a shout out to all the hard work on indicators, vectors, evidence based policies and guidelines. 9/9
