[unable to retrieve full-text content]Geoffrey Hinton, one of the fathers of Deep Learning, will be back to share his most recent and cutting-edge research progressions, and will be joined by other top researchers. Save 20% on Early Bird passes when you sign up before 15 June w. code KDNUGGETS. Also check Women in AI dinner series and get new white paper on Ethical implications of AI.
Original Post: Deep Learning Summit, Toronto featuring Geoff Hinton – save with KDnuggets
[unable to retrieve full-text content]What’s data science going to look like in 2018? How are job roles in the field going to change? Will AI find new ways to capture the public imagination? Learn more from Packt $5 books – on sale till Jan 16.
Original Post: 5 things that will be important in data science in 2018
[unable to retrieve full-text content]This article is simply a stream of consciousness on questions and problems I have been thinking and asking myself, and hopefully, it will stimulate some discussion.
Original Post: Machine Ethics and Artificial Moral Agents
[unable to retrieve full-text content]Strata is a conference I very much enjoyed attending. This year, I observed a few common themes that ran across much of the conference content: Data Science Collaboration, Data Ethics, and Platform Optimization.
Original Post: Strata Data Conference, NYC – Key Trends and Highlights
With self-driving cars being tested in Pittsburgh, Boston, San Francisco, and other places by Google, Tesla, Uber and others, the questions of Ethics and Machine Learning, which used to be confined to theoretical “trolley experiments” suddenly become more plausible.The latest KDnuggets Poll asked the readers to imagine one such extreme situation. (Software engineers need to test for rare and extreme cases, so considering such rare cases is routinely done in other areas).Imagine a self-driving car with one passenger, driving fast, a mountain on one side, cliff on the other side. Suddenly there are 5 pedestrians in front of the car. What should the self-driving car do?The answers split 3-ways. About 34% said the car should swerve, killing the passenger (and itself) to save more human lives (for simplicity, let’s call this choice “altruistic”). About 30% said the car should drive…
Original Post: The Surprising Ethics of Humans and Self-Driving Cars
By Anne Rozinat, PhD and Christian W. Gunther, PhD. When I moved to the Netherlands 12 years ago and started grocery shopping at one of the local supermarket chains, Albert Heijn, I initially resisted getting their Bonus card (a loyalty card for discounts), because I did not want the company to track my purchases. I felt that using this information would help them to manipulate me by arranging or advertising products in a way that would make me buy more than I wanted to. It simply felt wrong. The truth is that no data analysis technique is intrinsically good or bad. It is always in the hands of the people using the technology to make it productive and constructive. For example, while supermarkets could use the information tracked through the loyalty cards of their customers to make sure that we…
Original Post: Privacy, Security and Ethics in Process Mining
With self-driving cars now being tested in many places by Google, Tesla, Uber and others, the questions of Ethics and Machine Learning, which used to be confined to theoretical “trolley experiments” suddenly become more plausible.The questions like the one below are uncomfortable to think about, and such situations are probably rare, but in programming complex systems it is useful to consider extreme situations. Here is one such extreme situation – what is the right choice? In some dystopian future, one can imagine that with real-time face and identity recognition, the machine can make a calculation on whether to hit pedestrians based on who they are, their net worth, or twitter followers :).To see what can be done to reduce the chances of AI making a mistake, read the excellent post by Lukas Biewald What we can learn from AI mistakes.See…
Original Post: New Poll: Can You Live with Ethics of Machine Learning and Self-Driving Cars?
Analytics & Big Data will be involved in every aspect of our lives and we should handle the ethical dilemmas wisely to let innovation contribute more to our lives. By Bill Franks, Chief Analytics Officer for Teradata. As analytics are embedded more and more deeply into processes and systems that we interact with, they now directly impact us far more than in…
Original Post: Ethical Implications Of Industrialized Analytics
Battle of the Data Science Venn Diagrams; Top September Stories in KDnuggets; Open Images Dataset; Still Searching for ROI in Big Data Analytics? Features | Tutorials | Opinions | News | Webcasts | Courses | Meetings | Jobs | Academic | Tweets | … and ….. don’t forget to check …. Image of the week Features Tutorials, Overviews Opinions News Webcasts and Webinars Courses, Education Meetings Jobs Academic Top Tweets Image…
Original Post: KDnuggets™ News 16:n36, Oct 12: Battle of the Data Science Venn Diagrams; 9 Bizarre and Surprising Insights; ROI in Big Data Analytics
Humans & Machines Ethics Canvas’ main goal is to be a guide for critical thinking throughout the ethical decision-making process. It acts as a value system and an ethics framework to assess the influence of machine learning and software development while developing a system for individuals, teams, and organisations. By Piush Vaish, Trinity College Dublin. The recent progress in Artificial Intelligence and…
Original Post: Humans & Machines Ethics Framework: Assessing Machine Learning Influence