Explain, please. Help your users trust you
summary
Mobile apps collect far more data than users understand—only 5–8% know how apps work—so decisions about permissions, SDKs and algorithms matter. Case studies: Tumblr’s broad nudity purge backfires and costs an estimated 84 million users; FaceApp hits ~129 million downloads in weeks but suffers reputational damage from opaque terms; Kickstarter’s new presentation guidelines reduce scams; Monzo opens product roadmaps and raises millions from users; Buffer’s public post reverses a decline. Practical fixes include stricter permissions, auditing third‑party SDKs and federated learning or differential privacy.
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chapters (15)
- 0:00Introduction and disclaimers
- 2:46Ethics and transparency defined
- 4:10Trust crisis in tech industry
- 8:45How companies fail their users
- 13:03Know your users to earn trust
- 20:23Algorithms are opinions in code
- 23:54Ethical code in development
- 27:47Diverse user testing matters
- 31:24Transparency builds trust
- 35:13Small changes for big impact
- 41:17SDKs and hidden data sharing
- 43:03Apple’s privacy improvements
- 46:34Differential privacy explained
- 49:23Developers have real power
- 51:09Call for a programmers oath
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