Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Bryan Dove - From “Can We?” to “Should We?”: Emerging Challenges in Consumer Software

277 views

Published on

The science fiction writer William Gibson once said, “The future is already here – it’s just not very evenly distributed.” Companies like Google, Amazon, and Facebook are investing billions to advance deep learning technologies and bringing science fiction to their billions of users. They are also giving away most of the infrastructure and algorithms that they create for free, allowing businesses across the world to get in on the AI action. The availability of world-class AI research is arriving at an incredible pace and can be deployed for pennies. As this trend accelerates, what does that mean for the rest of us as both users and consumer product creators?

Published in: Software
  • Be the first to comment

  • Be the first to like this

Bryan Dove - From “Can We?” to “Should We?”: Emerging Challenges in Consumer Software

  1. 1. From Can We To Should We Bryan Dove CTO @ Skyscanner
  2. 2. Sunset
  3. 3. https://twitter.com/SInow/status/870860135471738881
  4. 4. http://edition.cnn.com/2013/09/01/world/gallery/iconic-images/index.html
  5. 5. What happens when
 Computer Vision >= Human Vision?
  6. 6. Cameras replace Keyboards
  7. 7. © Pinterest 2017
  8. 8. –William Gibson, American Science Fiction writer “The future is already here — it’s just not evenly distributed”
  9. 9. https://www.youtube.com/watch?v=NrmMk1Myrxc
  10. 10. The New Normal for Research https://blogs.microsoft.com/next/2016/10/18/historic-achievement-microsoft-researchers-reach-human-parity-conversational-speech-recognition/#sm.00014isyyb9nvfc1v5e
  11. 11. Leading Edge Research. For Free. For Everyone.
  12. 12. https://www.youtube.com/watch?v=eXVspNUeiWw
  13. 13. http://time.com/4862865/barack-obama-speech-lip-syncing-audio-university-of-washington/ https://www.youtube.com/watch?v=F050XJN97TI
  14. 14. © Anonymous-ng / Wikimedia Commons Who can we Trust?
  15. 15. -Eric Schmidt, Google
 May 31, 2011
  16. 16. https://www.kairos.com/blog/face-recognition-kairos-vs-microsoft-vs-google-vs-amazon-vs-opencv
  17. 17. http://gizmodo.com/british-cops-make-first-arrest-using-facial-recognition-1795852963
  18. 18. https://www.theguardian.com/technology/2016/may/17/findface-face-recognition-app-end-public-anonymity-vkontakte
  19. 19. http://mashable.com/2017/07/24/china-ai-crime-minority-report/#iFSeRxEUuqql
  20. 20. So we’re all screwed?
  21. 21. Engineers ask Can We? Ethicists ask Should We?
  22. 22. https://www.youtube.com/watch?v=rLsBie8Erls
  23. 23. What should we do?
  24. 24. Ethical Engineering •Trust is earned in inches, lost in miles •Protect user data as though it’s your personal data •Transparency & opt-in instead of opt-out * Not an exhaustive list
  25. 25. Can We + Should We
 = 
 We Must
  26. 26. Thank you

×