This blog post is part of a series where Portulans staff review recent developments in tech policy. Check our Twitter and LinkedIn to follow the conversation. Last month saw the launch of the Oxford Commission on AI and Good Governance, hosted by the Oxford Internet Institute (where our Board Member, Bill Dutton, is a Senior Fellow). Over the next eighteen months, OxCAIGG will contribute research and evidence-based policy recommendations to help governments and public sectors worldwide properly understand and mobilize the power and opportunities granted by machine learning and data science. To this end, the Commission unites world-leading experts on governance, technology, security and human rights.

Of all the technologies that drive digital transformation in the enterprise, people often tout artificial intelligence (AI) as perhaps the most disruptive of all. As automation becomes increasingly sophisticated, there's no question that AI is in the process of disrupting people's day-to-day jobs. As a result, the buzz has largely focused on whether AI will put people out of work vs. whether it will shift work to more productive tasks, as automation takes the grunt work off of everybody's plate. While such discussions are clearly important, they miss the larger transformative story. Digital transformation, after all, takes place at the organizational or even the industry level.

NOTE TO PROSPECTIVE BUYERS: Save your money and read the Intuition Machine blog on Medium. It's free, and most of the material from this book is just compiled from the author's blog posts. Pros: 1) Thought-provoking survey of ideas at the forefront of AI research Cons: 1) The book is full of glaring grammatical errors that an editor should have caught. This makes whole sections of the book incomprehensible on the first pass. I know this because there are chapters where the author fails to remove lines such as "in this post..." Bottom line: the book lacks polish and, as such, is way overpriced.

Of all the technologies that drive digital transformation in the enterprise, people often tout artificial intelligence (AI) as perhaps the most disruptive of all. As automation becomes increasingly sophisticated, there's no question that AI is in the process of disrupting people's day-to-day jobs. As a result, the buzz has largely focused on whether AI will put people out of work vs. whether it will shift work to more productive tasks, as automation takes the grunt work off of everybody's plate. While such discussions are clearly important, they miss the larger transformative story. Digital transformation, after all, takes place at the organizational or even the industry level.

Of all the technologies that drive digital transformation in the enterprise, people often tout artificial intelligence (AI) as perhaps the most disruptive of all. As automation becomes increasingly sophisticated, there's no question that AI is in the process of disrupting people's day-to-day jobs. As a result, the buzz has largely focused on whether AI will put people out of work vs. whether it will shift work to more productive tasks, as automation takes the grunt work off of everybody's plate. While such discussions are clearly important, they miss the larger transformative story. Digital transformation, after all, takes place at the organizational or even the industry level.