Bryce Goodman

Faculty

Internet of Things, Machine Learning

Request Bryce for Your Event

Areas of Expertise

GGC-Environment  •  Deep Learning  •  Data Science  •  Artificial Intelligence  •  Sensors  •  Policy  •   Law  •   Ethics  •  Digital Networks  •  Networks & Computing Systems  •  Ethics

About Bryce

Bryce Goodman is Chief Strategist for Artificial Intelligence and Machine Learning at the Department of Defense’s Innovation Unit, where he oversees a range of large-scale projects including the implementation of AI for humanitarian assistance and disaster response, predictive maintenance, counter-disinformation, predictive health, and supply chain optimization. Bryce also supports programs on AI for environmental monitoring and conservation as Kravis Senior Contributing Scientist and Innovation Fellow at the Environmental Defense Fund (EDF), is a faculty member of Singularity University and an external advisor to the US National Security Commission on AI. His current and past consulting clients include Google, NEC Corporation, Deloitte, LG, Citibank, Barclays, Global Fishing Watch, World Bank, Blackstone, United Nations, NASA, US Department of State, CIA, and the UK Cabinet Office.

Previously, Bryce co-founded a cleantech startup and successfully raised over $50m led by Kleiner Perkins. Bryce’s awards include Forbes 30 under 30 (Energy & Industry), Harvard Business School Best New Venture and World Economic Forum Technology Pioneer. He is a graduate of Deep Springs College, the University of Oxford (Clarendon Scholar; first class honours) and Singularity University, and holds degrees in data science, philosophy, political science and economics. He is currently undertaking a PhD in Philosophy and Artificial Intelligence at the University of Oxford.

Speaking Topics

  • Big Data and Beyond: AI for Enterprise

    The internet of things (IoT) is about a lot more than smart thermostats and connected cameras. In this talk, you’ll learn how IoT is bringing machine intelligence out of the box and into the world through the confluence of smart sensors, networked computing, big data and deep learning. The IoT revolution is disrupting industries ranging from manufacturing to healthcare, delivering billions of dollars in value today and trillions of dollars of value in the years to come. But who will be the winners, and who will be the losers? And will IoT be a technology of liberation, or domination?Topics will include: smart sensors and sensor fusion, networked computing, big data, artificial intelligence/ machine learning/deep learning, predictive maintenance, generative design, computer vision, autonomous systems, wearables, cyber warfare, machine deception.

  • Environmentalism’s Fourth Wave: AI For Sustainability

    AI is not only the most important technology of our time, it is also the greatest tool in our arsenal for tackling environmental global grand challenges. In addition to covering the fundamentals of AI, this talk will explain how the combination of sensors, networks and machine learning is allowing groups to monitor, predict and, ultimately, protect the environment like never before. Topics include: computer vision, small satellites, predictive maintenance, intelligent infrastructure, sensor fusion and ubiquitous intelligence.

  • Ethics for an Exponential Future

    Exponential technologies hold the power to transform our world and thus raise profound ethical questions about their use and the kind of world we should seek to create. This talk will introduce three distinct ethical traditions that provide frameworks for navigating ethical landscape: utilitarianism, deontology and virtue ethics. We will discuss emerging ethical issues arising from the development of self-driving cars, bioinformatics, internet of things, social networks and, more broadly, the rise of artificial intelligence.

  • Ethics for an Exponential Future

    Exponential technologies have fundamentally transformed our capacity to change the world. However our moral psychology, evolved over hundreds of thousands of years, has remained fundamentally the same. Thus the question: how can we ensure that our technological capacities do not exceed our moral capabilities?

    This talk will introduce audiences to the major schools of thought within the study of ethics and provide a framework for identifying, analyzing and acting upon ethical issues. This method will be illustrated through application to ethical dilemmas arising in artificial intelligence.

  • Intelligence Unboxed: The Internet of Things Revolution

    The internet of things (IoT) is about a lot more than smart thermostats and connected cameras. In this talk, you’ll learn how IoT is bringing machine intelligence out of the box and into the world through the confluence of smart sensors, networked computing, big data and deep learning. The IoT revolution is disrupting industries ranging from manufacturing to healthcare, delivering billions of dollars in value today and trillions of dollars of value in the years to come. But who will be the winners, and who will be the losers? And will IoT be a technology of liberation, or domination?Topics will include: smart sensors and sensor fusion, networked computing, big data, artificial intelligence/ machine learning/deep learning, predictive maintenance, generative design, computer vision, autonomous systems, wearables, cyber warfare, machine deception.

See All Faculty