Jana is the CEO of AI company Nara Logics. Having worked in software dev and AI for more years than she cares to admit, this is an extremely insightful conversation around the why behind AI, how to approach it, and the value that AI brings. Importantly the difference between explainability and understandability. Jana brings a simple methodology to a complex topic.

Gene Kim is the co-author of the Phoenix Project and the Unicorn Project. Anyone involved in software development has read his books, or have heard him speak. Those that haven't, probably haven't fully appreciated the effort it takes to ship quality software that we use everyday. In this podcast Gene talks about the evolution of DevOps, his favourite inspirations, how enterprises are evolving into software development houses, and how to benchmark your DevOps maturity. His story telling includes a fantastic 'mind altering' reflection on running, maintaining, and developing the software that runs the Navy, as well as 'software updates that can be deployed' whilst a car is driving. You will buy his book, or one of the books he recommends during this podcast. Gene talks fast, is super resourceful, so it's awesome to have this recorded so you can hit pause and reflect!

Cade Metz is a New York Time Journalist and author of Genius Makers, which details the modern history of AI. This conversation covers a number of interesting topics; The ethical ideology of AI leaders including Google, Microsoft and Facebook. How they acquired AI, what they've done with it, what they might do with it. Why did everyone choose to sell their AI to Google? Ethics? Facebook - Ethical AI or not? The difference between the US Government access to AI and China. It's a fascinating chat for anyone that is interesting in AI, social media, privacy, ethics and the rise of big tech.

Ellen Broad joins the Tech Seeking Human Podcast to talk about elements of her book "Made by Humans, the AI Condition", including the future of AI, the limitations of AI, bias, explainability, and electric vehicles that are not yet ready for Kangaroos. She is an advisor on the Australian Governments Data Advisory Council, hails from Perth, Western Australia, and despite nearly giving birth on the podcast, holds a conversation around AI with charm.

Your personal data is safe and sound. Protected by ethical companies with no real reason to sell it, manipulate it, and extract it. It's grouped into categories, for which ads are served, decisions are made, benefits are realized and options are offered. These companies are governed by ethical foundations, with principles around what should and shouldn't be done with your information. Leveraging AI that is unbiased, and explainable, you feel confident in all decisions, and how your data is used. You following? Pay attention because this is exactly what is not happening, and Nathaniel Raymond, a thought provoking professor and TED Talk activist, is going to help you realize that the 'wild west' of data governance needs to end. It's life threatening, it's a threat to democracy and it's a threat to our way of life. This podcast is long. But if you are patient, you'll leave enlightened.

BBC Presenter, Podcaster, Author, Mathematician, and self confessed geek, Hannah Fry joins the podcast to talk about renovations, super computers, 5G connected cows and whether scientists (or farmers) can predict the sex of calves. Eventually we move onto serious topics topics like tracking cookies, facial recognition, and the future of AI. There just always seems to be a touch of class when Hannah is in the room, or zoom for this one.

The world knows Siri. It revolutionised how we interact with AI. Adam Cheyer is the co-founder of Siri. In this conversation, Adam shares his story on being approached by Steve Jobs, turning down and offer to join Apple, and eventually partnering to bring Siri to the world. He shares the origins of Siri, his vision for it, and more generally his thinking around open AI, and the future of AI. Many associate Steve Jobs with revolutionising computing, the iPhone, music and the Apple ecosystem. But perhaps his greatest accomplishment, was bringing AI to the masses. In this podcast you will, for the first time, hear Adam Cheyer open up about how Steve felt about Siri. The fact is, Siri was launched the day after Steve Jobs passed away. "Steve Jobs was clinging to life to see the launch of Siri." According to Steve Jobs', Personal Assistant.

The future of life - AI could be the best thing or the worst thing that can happen to humanity. We have less than 50% probability of society surviving the next 50 years. Max Tegmark, a leading scientist and authority on AI, is adamant that the future we want, is the future we need to design. This isn't science fiction. Max founded the 'Future of Life Institute, which counts Elon Musk and Larry Page as members, to drive a global agenda toward a future where AI helps, not hinders. The risks are plentiful - we could develop AI systems that 'outsmart us', selfish leaders could create an AI powered nuclear war, but the rewards are even greater. Redistribution of wealth so we can work in jobs we want to work in, healthcare and education could be greatly improved, poverty could be eliminated, and we can do more of what we like doing. But this reality requires thinking and acting on the possibilities of AI and designing a way to control and work with this technology. It requires a global shared vision. But getting there doesn't seem as simple as it sounds.

“We’ve been told a lie.” Analysis of quantitive data will tell you what you already know. ‘Humanising data’, shifting from data collection to data understanding, and finding meaning, could make or break your company. Tricia Wang is a tech ethnographer, studying the behaviour of how people analyze data using technology, and in this podcast she shares some critical stories and best practices for how companies should redefine their approach to data analysis. In this podcast, so many of the strategies shared by Tricia seem painfully simple, and yet why is it that we don’t practice them. “Get close to the customer.” So many companies say this, but why are they failing miserably at truly understanding what the customer wants, and actually delivering on it. The big themes that will make you go ‘mmm’; Why it’s important to find meaning in your data You think you’re close to your customer but are you really understanding and serving their needs, wants and desires Reporting overload is at pandemic levels The ‘department of the unknown’ might unlock the secrets to the insights you need AI needs human to interpret, translate and action. ‘The Spatial Collapse’ defines our current work/life/play, but how will it evolve?