Flynn Coleman has led a fascinating life. An author, international human rights attorney, professor, social justice activist and a former competitive athlete she has spoken and written on a wide range of issues from war crimes to behavioral economics. Her wonderful new book, A Human Algorithm (2019), makes the urgent case for why we need ethically designed AI. In our conversation we talked about the co-evolution of tools and people, non-human forms of intelligence and the dangers of automating inequality.

Dr Enass Abo-Hamed is working on one of the most challenging and intriguing energy problems today: efficiently and safely storing clean energy. While on a trip to Africa when studying for her PhD, Enass realised how much of a luxury electricity was, with some hospitals only receiving power for part of the day, and people rushing to do all their cooking and reading at home while the electricity was still on. So, at the age of just 28, she co-founded a business, H2GO, to develop a hydrogen battery that would be able to store clean and renewable energy in countries without an electrical grid. We caught up at her lab in London to talk about the future of energy, and why science and not guilt is the true path through the climate change crisis.

If you were to start a law firm today, leveraging all available technology and new ways of thinking - how would you do it? That, among other questions, is what I asked Piotr Spaczyński, managing partner of SSW, the only independent law firm from Poland, and one just shortlisted in the prestigious Innovative Lawyers ranking organised by the Financial Times. The legal industry - conservative, slow-moving and based on precedent - is a fascinating case study for the disruptive impact of AI and automation. Piotr and I discussed what the legal AI stack of the future might look like, from the use of algorithms to analyze contracts to predicting the outcome of litigation under particular judges. So when the legal system becomes increasingly standardized, contracts more automated and legislation akin to computer code - will the best lawyers of the future be less like Harvey Specter and more like Bill Gates?

So finally some good news: according to Cognizant’s Jobs of the Future index, since early 2017, the index's jobs of the future have been growing faster than all jobs. I strongly believe that the Algorithmic Age will create as many interesting jobs as it destroys, and so was fascinated to catch up with Ben Pring, who co-founded and leads Cognizant’s Center for the Future of Work. Ben is a co-author of the best-selling and award winning books, What To Do When Machines Do Everything (2017) and Code Halos; How the Digital Lives of People, Things, and Organizations are Changing the Rules of Business (2014). We spoke about why the jobs of the future will those that incorporate the qualities of coaching, caring and connecting - and what ultimately this means for leaders as they start to think about reimagining their organizations for the 21st century.

When people ask me what our best insurance is against being made irrelevant by AI, I always reply: rethink education. On this week’s show, I spoke to someone doing just that. Richard Culatta is the CEO of the International Society for Technology in Education (ISTE), and prior to which, was the chief innovation officer for the state of Rhode Island and the director of the Office of Educational Technology for the U.S. Department of Education. For Richard, the future of education is more than just digital textbooks or electronic whiteboards - the real challenge is whether we can leverage disruptive technology to fundamentally reimagine the experience of learning. Duplicating existing education processes are doomed for failure, as is any approach that treats all students the same. We chatted about the real potential of personalized learning, whether AI will replace traditional teachers, and what companies like GM are doing to help reboot the education system to prepare kids for the Algorithmic Age.

I met Simon in the late nineties in Sydney when he had just started Australian Fashion Week. After the huge success of that event, he sold the business to IMG International, and went on to found Ordre, a business-to-business online wholesale marketplace for luxury designers, which has recently taken on Alibaba Group as a strategic investor. Catching up at his office in London, we had a fascinating chat about the use of AR/VR by global fashion buyers, the challenges of serving dynamic global consumer markets, the emergence of algorithmic fashion design and how AI will change the future of retail.

Christine is one of the most talented and thoughtful technology leaders around today. Currently CIO at Questrade, she was recognized in 2017 as a Canada’s Most Powerful Women: Top 100 Award Winner. We met at a Gartner event where I was presenting on an early version of my 'Algorithmic Leader' idea, and as someone that exemplified many of those values, I was keen to continue our discussion about what she had learned from leading successful digital transformations. In particular, I was curious about the results of their ‘Spotify-style’ agile transformation at Questrade, the impact of automation on their organization design and why the most valued people in her team were ’T-shaped’ rather than ‘I-shaped’.

Will AI-assisted IVF be the new normal when it comes to having smarter and healthier children? This, and other provocative questions are at the heart of Jamie Metzl’s brilliant new book, ‘Hacking Darwin’, which argues that we are at the dawn of a new genetics revolution. In Jamie’s view, our DNA is becoming as readable, writable, and hackable as our information technology. What will this mean for humanity as we start to reengineer our own genetic code and radically change our lifespan and capabilities?

As AI moves out of research labs and into the real world of commercial applications, we will increasingly see the rise of AI products. Whether it be detecting fraud in financial transactions or optimizing supply chains, while you won’t need a detailed knowledge of machine learning models to take advantage of the next generation of AI tools, you may well require an appreciation for confidence intervals and a new approach to making decisions. On a trip to Toronto, I caught up with Karthik Ramakrishnan, Head of Industry Solutions & Advisory at Element AI. We spoke about the near-term challenges of embedding AI decision-making in organizations, and why just as important as getting algorithmic products to work with people, will be getting the products to work with each other to make complex, synthesized decisions across the company of the future.

I met Jason in Las Vegas while speaking at the National Automatic Merchandising Association show. The vending industry is uniquely placed to be a testing ground for the intersection of data, consumer behavior and autonomous retail solutions. Jason, who is the CEO of AI startup Hivery was originally selected as part of an innovation accelerator organized by the Coca-Cola Company in Atlanta. Tasked to take Coke assets and create a new business model, they came up with an AI platform designed to transform retail decision making. Catching up backstage in Vegas, we spoke about the future of machine learning, and what it might take to build a complete retail AI technology stack.