Working in academia, the public and private sectors, Daniel is a leading expert in artificial intelligence as well as its applications and the social, commercial, economic and ethical implications. In a world where many believe access to more and more data will lead to ever better decision-making, he looks at what AI really is, what it can achieve, and the potential pitfalls. He also asks how organisations need to change their structure and why people feel addicted to technology.
Daniel Hulme is the CEO of AI solutions company Satalia, and Director of University College London’s Business Analytics Masters degree. He looks at how AI can solve the most challenging problems and deals with its business, ethical and social implications, as well as wider technological and economic developments.
Passionate about creating a positive technological future, Daniel sees his mission as making AI accessible and understandable whilst also providing a framework for avoiding the potential pitfalls. He works at the intersection of technology, innovation, organisation and ethics.
After studying computer and cognitive science, as well as management and computational complexity, Daniel has since balanced work in both academia, public and private sectors. He worked as a consultant for a range of technology companies in the UK and US. He’s worked on and founded advisory bodies and steering groups largely focused on the economic, employment and ethical implications of technology, data and AI. He’s also advised the UK Government on data use and worked with groups to foster entrepreneurship, learning and innovation in the private sector.
Daniel also founded and now leads Satalia. Seen by many as a peer of Google’s DeepMind, they apply AI to solving difficult business and social problems. They seek out practical applications of AI, often in unexpected ways, dealing with areas beyond customer and market data or automation.
Daniel reveals a future that holds radical changes to how companies operate and how global economies work. AI has the potential to affect everything from training to marketing, salary negotiations to customer service – anything that requires a decision to be made. Central banks and stock exchanges will have to deal with companies issuing their own currencies rather than shares. Personal and company reputations will be irrevocably recorded on the blockchain. These development all have the potential to completely alter things we take for granted. We need to be prepared and to steer them appropriately.
Exploring what AI is, and importantly what it is not, Daniel considers how true artificial intelligence won’t mirror the human brain, and won’t just be case of something that learns and calculates faster than we can. He dispels the myths whilst also alerting audiences to the potential problems. He suggest strategies to combat the demands for organisational change and the necessity for a new type of company and workplace that is not just open, ‘flatter’ and collaborative, but also inclusive. He looks at how these organisations can thrive, how they will innovate faster and more naturally, but also how the ethics and values of consumers and employees have to be incorporated. He also challenges people to reflect on how they use technology, and to understand why they may feel addicted to the sites such as Facebook and a world of likes and follows.
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AI and The Future of Business