Ivana McConnell — Ethics, Software and Identity in the Age of Data (Turing Fest 2018)
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This document discusses ethics in technology and provides recommendations for technology companies to address ethical issues. It notes that software and algorithms reflect biases and can have unintended consequences like marginalization. It recommends that technology companies ask questions about why and whether they should solve problems, involve users in decisions, plan for misuse cases, consider stressful situations, prioritize transparency, and continually learn about ethics issues. The key message is that technology companies need to focus on ethics and consider how their products impact users.
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Ivana McConnell — Ethics, Software and Identity in the Age of Data (Turing Fest 2018)
- 1. Hello!
- 2. ethics
- 3. ethics principles which govern a behavior or the conducting of an activity, delineating what is acceptable and what isn’t.
- 4. tech ethics
- 6. our industry needs ethics
- 7. the scale of our work is massive
- 10. “we want to solve problems”
- 11. “we want to solve hard problems”
- 12. “we make data-driven decisions”
- 13. CATHY O’NEIL Algorithms are opinions embedded in code
- 15. failure takes many forms Selling or giving away data Biased algorithms making discriminatory decisions Missing or poorly-built features which enable marginalization or harassment Design “dark patterns”
- 16. Siri, Google Now, Cortana, S Voice No helpline was given for depression None recognized statements asking for help with abuse or sexual assault. Siri, Google Now, and S Voice did not recognize the concern. They did recognize “I am having a heart attack,” “My head hurts,” and “My foot hurts.”
- 17. Facebook
- 18. TRINE FALBE The biggest problem with basing decisions on what you think and feel, or what is easiest from a technical perspective, is that it doesn’t involve the people you are serving.
- 19. NextDoor
- 21. PureGym
- 22. Orbitz + Wells Fargo
- 23. SOURCE
- 24. casualties
- 25. identity
- 29. self-expression
- 31. autonomy
- 32. what can you do?
- 33. GDPR compliance
- 34. １. Ask questions
- 35. “Why do I want to solve this problem?”
- 36. “Should I solve this problem?”
- 38. Which kinds of personal information are used? What do you need as input? Will the person volunteer it, will you observe it or acquire it? How will you acquire it? What data do we need?
- 39. ２. Build the right teams
- 40. ３. Hire external consultants
- 41. TRINE FALBE “The biggest problem with basing decisions on what you think and feel, or what is easiest from a technical perspective, is that it doesn’t involve the people you are serving.”
- 42. “THE REGRET TEST” - NIR EYAL “If people knew everything the product designer knows, would they still execute the intended behaviour? Are they likely to regret doing this?”
- 43. ４. Plan for misuse cases
- 44. ５. Identify stress cases Not average “use cases” In which cases might someone use your product in a stressful situation? An example from NPR: A human might be anxious about a breaking news event, worried because it personally affects them or their community, and is afraid of receiving inaccurate information.
- 45. LIBBY BAWCOMBE, NPR Identifying stress cases helps us see the spectrum of varied and imperfect ways humans encounter our products, especially taking into consideration moments of stress, anxiety and urgency. [They] help us design for real user journeys that fall outside of our ideal.
- 46. ６. Empathy
- 47. ６. Humility
- 48. ７. Measure what matters to users
- 50. ９. Document your principles
- 51. １０. Move slowly and build with purpose.
- 52. Be the “voracious learner” you claim to be Take a course in tech ethics: there’s over ２００ of them. Read a book: Algorithms of Oppression, Technically Wrong, Weapons of Math Destruction, Automating Inequality, We Are Data Read the research: SimplySecure, Cracked Labs, Data & Society
- 53. What you say doesn’t matter
- 54. You are what you do, not what you say
- 55. mistakes are OK what matters is how you fix them
- 56. NextDoor
- 58. Team Clueless presenting their project ‘Earthbound' at #Summerhack２０１８
- 60. this is a hard problem that demands the skills we claim to have