Data Philosopher https://validator.w3.org/feed/docs/rss2.html Managing Automation: Employment, inequality and ethics in the digital age Exponential Growth and the Technological Singularity Theresa May, AI, Ethics and the World Economic Forum at Davos Google Duplex is Incredible, but is it Ethical? Digital Immortality Was Apple Wrong to Unilaterally Remove Apps from its Store? What is a Man-In-The-Middle Attack? About Charles Radclyffe Media Bio #drivenbydata Data Philosopher – Digital Ethics, Automation, Robotics and AI Learning Machines – How Computers Got Smart About Charles Radclyffe Blog Events Book Get Your Free eBook – 7 Disruptive Technologies Shop Can you feel it? How to improve the human – computer interface… Contact Published Works Ethical and Social Challenges for Machine Learning How to avoid Star Wars and see the world in a better way When one eighth of an inch becomes the difference between success and failure? Why don’t cars work like computers? Terms of Use The tyranny of the survey is over. Now it’s time to speak out in your own words… Sample Page Privacy Policy AI Glossary Maintenance Page Why even on Thanksgiving, I can never be at peace with Infographics… In the press Gartner Magic Quadrants – How to make choosing the right data technology a piece of cake How smart is your home? Why you should never make a decision without Data 5 things you need to think about before investing in Big Data Your data is important to us Data Visualisation by Dummies One Way Track Are Asimov’s Laws still valid to protect humanity from malevolent AI? The Measure of a Man Data and the war between Business and IT meta – ‘data’ – phorically speaking Sorting your algorithms from your heuristics Review of Blockchain: Blueprint for a New Economy, by Melanie Swan The 3 wise men: Gates, Hawking, and Musk. Will there be a fairy tale ending to why AI matters, today? – Part III Lawyers: How you will lose your job… Why AI matters, today – Part II Why AI matters, today? – Part I