AI, Deep Learning role on Data Ethics

Wednesday, May 24, 2017 - 18:00
London Data Science #ODSC

Please register here to attend: 

AI, Deep Learning role on Data Ethics


6:00PM - Doors Open & Networking

6:30PM - First speaker

7:15PM - Beer and Pizza

7:45PM - Second speaker

8:30PM - Networking

9:00PM - Close

Ian Sharp

AI and Deep Learning are becoming increasingly important to discussions around the Ethical use of Data in commercial and government applications. The presentation covers where The industry is heading with the technology and algorithms available. We discuss the balance between customer and vendor value, the use cases good and bad and the implications of “democratising AI” (my former CEO Satya Nadella’s phrase). We also take a realistic look at concepts around Surveillance Capitalism, the rise of the Grey Sheep and go on to explore areas where the current technology is maturing or still has some way to go.


I work as Lead Data Scientist for Oracle UK and Ireland. I have been involved in Machine Learning and advanced analysis since the late 1990’s and have worked on projects with organisations ranging from Amazon, Discovery Channel and Sky through to Sports Media companies like the Perform Group as well as Cern and the NHS. I am passionate about working with Data Scientists to explore the ethical uses of an immensely powerful and prescient set of technologies.

Yali Sassoon

Enabling companies to track user interactions across platforms and channels: A startup founder's ethical dilemmas

Five years ago I co-founded Snowplow: an open source platform that enables companies to track their users across multiple platforms and channels. I believe that the technology we are building can be used to do good. But when I look at our userbase, I can see that it's used to do bad as well as good.
In the intervening years, I've thought a lot about how difficult it is to ensure that use user data ethically. In this talk, I hope to share some of that thinking and encourage a debate and brainstorm about what we can do to ensure data is used more ethically.

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