Ethical data handling
summary
Panel outlines a concrete push: industry and regulators co‑author a big data code of ethics that includes a unified ethical framework, guidance for data scientists, DPA‑backed enforceability and sectoral translations. Practical tools include embedding privacy specs into agile/scrum cycles so design tradeoffs show up early, and mapping the data life cycle into five moments — collection, storage, analysis, sharing, deletion — with mitigations per moment. A startup example scales from 3 to 17 staff and >€1M contracts; pilots on biometric border gates and HP Labs prototypes are underway.
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chapters (7)
- 0:00Ethical data handling
- 10:58HP’s vision for data protection
- 23:10Privacy engineering and ethics
- 37:15Ethics vs law perspective
- 45:39Ethicas framework for tech assessment
- 1:01:27Stakeholder engagement in ethics
- 1:13:14Societal glue and ethics
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