Book review of ‘How Charts Lie’ by Alberto Cairo and why all leaders & analysts should read it. Improve your graphicacy. Protect yourself from being lied to
Suggestions for other controversial topics, relevant for Analytics & Data Science leaders. Sharing posts & viewpoints – which should we discuss next?
Continuing our series of two posts on the topic of Machine Learning Ethics. In part two of his series on this topic, guest blogger Francesco Corea, moves on to consider moral accountability. How might an accountability, to act in an ethical way, be codified into algorithms or complete machine learning products? Drawing on sources as diverse as the World Economic Forum & MIT Technology Review, Francesco guides us through some.. Read More
Time for us to consider AI ethics, not just AI developments. Continuing our focus on themes that emerged at recent Data Leaders Summit, let us consider the AI ethics problems posed by this developing capability. This builds upon our recent post about the emergence of Product Manager roles within Data Science teams. Another key theme at that event, was the need for Data & AI Ethics. A debate on this.. Read More
Although this was a coaching conference, aimed at coaches of all kinds, the content proved very insightful in understanding human thinking & behaviour, so should also be of interest to all leaders. It was hosted at University of South Wales, by the very friendly Commercial Services team there. Sponsors included the Association of Coaching & the Institute of Leadership & Management (I’m a member of both organisations and recommend their resources). Our chair.. Read More