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?

1. From Can We To Should We
Bryan Dove
CTO @ Skyscanner

3. Sunset

7. https://twitter.com/SInow/status/870860135471738881

8. http://edition.cnn.com/2013/09/01/world/gallery/iconic-images/index.html

9. What happens when
Computer Vision >= Human Vision?

10. Cameras replace Keyboards

12. © Pinterest 2017

13. –William Gibson, American Science Fiction writer
“The future is already here — it’s
just not evenly distributed”

15. https://www.youtube.com/watch?v=NrmMk1Myrxc

16. 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

17. Leading Edge Research.
For Free.
For Everyone.

18. https://www.youtube.com/watch?v=eXVspNUeiWw

19. http://time.com/4862865/barack-obama-speech-lip-syncing-audio-university-of-washington/ https://www.youtube.com/watch?v=F050XJN97TI

20. © Anonymous-ng / Wikimedia Commons
Who can we Trust?

21. -Eric Schmidt, Google
May 31, 2011

22. https://www.kairos.com/blog/face-recognition-kairos-vs-microsoft-vs-google-vs-amazon-vs-opencv

23. http://gizmodo.com/british-cops-make-first-arrest-using-facial-recognition-1795852963

24. https://www.theguardian.com/technology/2016/may/17/findface-face-recognition-app-end-public-anonymity-vkontakte

25. http://mashable.com/2017/07/24/china-ai-crime-minority-report/#iFSeRxEUuqql

26. So we’re all screwed?

27. Engineers ask Can We?
Ethicists ask Should We?

28. https://www.youtube.com/watch?v=rLsBie8Erls

29. What should we do?

30. 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

31. Can We + Should We
=
We Must

32. Thank you