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BA and Beyond 20 - Liz Calder - We can, but should we? Modern ethics and the BA.

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Do you believe you behave ethically at work?
Have you even thought about it?

The world we live in has moved from a physical realm to one where we now live partly digitally. It is growing organically, with every bright idea leading to a thousand new opportunities. But who decides what is the right thing to do in this new world? Well, we do! The Business Analysts and the teams that create it.

So far the results have been patchy. There are some great forces for good and some dangerous abuses of new technologies.

Published in: Data & Analytics
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BA and Beyond 20 - Liz Calder - We can, but should we? Modern ethics and the BA.

  1. 1. ba-beyond.eu — #BABeyond20 13 October 2020 We can, but should we? Modern ethics and the BA Liz Calder
  2. 2. Dr Liz Calder Blue Raccoon Limited We Can, But Should We? Modern Ethics and the BA
  3. 3. IT is making our lives easier <happy shiny image>
  4. 4. Some gains come at another’s expense
  5. 5. Ryan Air splitting up families
  6. 6. Does the BA in you ever ask? Who decided to do that was the right thing to do? Is it the right thing to do?
  7. 7. Traditional Ethics a system of accepted beliefs that control behaviour, especially such a system based on morals: Acting in ways consistent with what society and individuals typically think are good values.
  8. 8. Paul Virilio Cultural Theorist When you invent the ship, you also invent the shipwreck; when you invent the plane you also invent the plane crash; and when you invent electricity, you invent electrocution…. Every technology carries its own negativity, which is invented at the same time as technical progress
  9. 9. Modern Ethics What is the right thing to do in a world that is ever changing and where society hasn’t had the opportunity to form an opinion yet? If there’s no-one to tell us what to do, then we have to decide for ourselves.
  10. 10. UnethicalIllegal Unintended Consequences
  11. 11. Where is that in the Business Case? P - Political E – Economic S – Socio-Cultural T - Technological L - Legal E - Environmental Who asks “Should we do this?”
  12. 12. Bots Internet harassment Dark Patterns AI Privacy Misinformation
  13. 13. Bots Internet harassment Dark Patterns AI Privacy Misinformation
  14. 14. A Common Sense Approach to Web Usability Practical guidance for intuitive navigation and information design
  15. 15. Dark Patterns Dark Patterns are tricks used in websites and apps that make you do things that you didn't mean to, like buying or signing up for something. www.darkpatterns.org Types of Dark Patterns Sneak in Basket Roach Motel Privacy Zuckering Price Comparison Prevention Misdirection Hidden Costs Bait and Switch Confirm Shaming Disguised Ads Forced Continuity Friend Spam
  16. 16. “Design is Applied Ethics” Cennydd Bowles
  17. 17. Bots Internet harassment Dark Patterns AI Privacy Fake News
  18. 18. We love Data!
  19. 19. Privacy is not our problem “It’s not like I work in Healthcare, Informed Consent isn’t relevant to me”
  20. 20. Privacy is not our problem But it’s fine so long as we put it in the T&C “It’s not like I work in Healthcare, Informed Consent isn’t relevant to me”
  21. 21. • Only 1 in 7 people read their T&C • It would take weeks and weeks to read all the T&C you have signed up to • e.g, iTunes T&C is ~ 20,000 words • FB about 15,000
  22. 22. Privacy is not our problem No problem, we anonymise all our data! But it’s fine so long as we put it in the T&C “It’s not like I work in Healthcare, Informed Consent isn’t relevant to me”
  23. 23. Patient No Age Bracket Sex Severity Attribute 1 Attribute 2 Patient 1 35-45 M 5 ….. ….. Patient 2 0-5 M 2 ….. ….. Patient 3 25-35 F 5 ….. ….. Patient 4 65-75 M 7 ….. ….. Patient 5 25-35 F 6 ….. ….. Patient 6 45-55 F 1 ….. ….. Patient 7 65-75 F 4 ….. ….. Patient 8 5-15 M 3 ….. ….. Patient 9 55-65 M 8 ….. …..
  24. 24. Patient No Age Bracket Sex Severity Attribute 1 Attribute 2 Patient 1 35-45 M 5 ….. ….. Patient 2 0-5 M 2 ….. ….. Patient 3 25-35 F 5 ….. ….. Patient 4 65-75 M 7 ….. ….. Patient 5 25-35 F 6 ….. ….. Patient 6 45-55 F 1 ….. ….. Patient 7 65-75 F 4 ….. ….. Patient 8 5-15 M 3 ….. ….. Patient 9 55-65 M 8 ….. …..
  25. 25. Where does this leave the Business Analyst? Asking questions, I hope…..
  26. 26. The sorts of questions to ask What does healthy use of this product look like, what does unhealthy use look like? Will the data we collect be accurate. Could it be misused? Do our users know why we want their data and can they be certain that’s all we’ll use it for? Will this product create wealth or asset inequality? Are we building bias into this system? Could somebody misuse this system to track people? Could this product be used to harass people? Ethicalos.org
  27. 27. The sorts of questions to ask What does healthy use of this product look like, what does unhealthy use look like? Will the data we collect be accurate. Could it be misused? Do our users know why we want their data and can they be certain that’s all we’ll use it for? Will this product create wealth or asset inequality? Are we building bias into this system? Could somebody misuse this system to track people? Could this product be used to harass people? Ethicalos.org
  28. 28. The sorts of questions to ask What does healthy use of this product look like, what does unhealthy use look like? Will the data we collect be accurate. Could it be misused? Do our users know why we want their data and can they be certain that’s all we’ll use it for? Will this product create wealth or asset inequality? Are we building bias into this system? Could somebody misuse this system to track people? Could this product be used to harass people? Ethicalos.org
  29. 29. The sorts of questions to ask What does healthy use of this product look like, what does unhealthy use look like? Will the data we collect be accurate. Could it be misused? Do our users know why we want their data and can they be certain that’s all we’ll use it for? Will this product create wealth or asset inequality? Are we building bias into this system? Could somebody misuse this system to track people? Could this product be used to harass people? Ethicalos.org
  30. 30. We can, but should we?
  31. 31. Resources Darkpatterns.org Ethicalos.org Carole Cadwallader – TED talk. FB & Democracy

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