Infosec, AI and ethics – new models for a secure future
summary
Argues that data and software cause real-world harms and gives concrete cases: an IoT light with accelerometer revealing room-level data built without security, Amazon’s recruiting AI reintroducing gender bias, a survey where people prefer saving women over men and execs over homeless in trolley scenarios, and 1-in-4 US biostatisticians asked to commit fraud. Recommends practical fixes: ethics canvas piloted on projects, privacy-by-default, embedding checks in IDEs, and notes VW engineer jailed 40 months as a real consequence.
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chapters (9)
- 0:00Start
- 4:44Weaponization of social media
- 7:13Cyber is the new
- 13:19Ethics of
- 32:39Traditional approaches
- 33:12Privacy by Design
- 34:20OWASP Security by Design Principles
- 36:25House of Lords Artificial Intelligence Committee 2017
- 39:50Recap
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