691: Huma discusses the creative ways artificial intelligence is being applied and the path ahead for combatting unconscious biases in AI models. She describes her purview at Intel and explains to Peter High the key differences between typical software and artificial intelligence software. Huma dives deep into the intersection of AI and creativity and shares the remarkable progress being made in the creation of things like art, podcasts, and more. Finally, Huma reiterates the importance of diversity when building AI models to eliminate biases and shares how companies, both AI and non-AI-focused, can improve the opportunities granted to diverse talent in the workplace.

Also available on YouTube:

https://youtu.be/rPtvfM5nmy4

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This episode is sponsored by Cisco.

680: In this interview, we discuss the work Andres and his team are doing to advance artificial intelligence and its applications. Andres speaks to the historical evolution of artificial intelligence, the work being done to democratize access to AI algorithms, and the benefits and risks that AI can pose to society. Andres also provides a unique look at the hardware side of artificial intelligence, the trade-offs in complexity with its software counterpart, and how companies of all sizes can train and distill large AI models into smaller more applicable models. Finally, Andres explains how open-source communities are advancing the progress being made in AI and how citizen developers and people without engineering backgrounds can be easily trained to become familiar with the tools behind AI.

Also available on YouTube:

428: AI pioneer and UC Berkeley Professor Stuart Russell warns that AI is reshaping society in unintended ways. For example, social media content selection algorithms that choose what individuals watch and read do not even know that human beings exist. As AI becomes more capable, he suggests that we are going to see bigger failures of this kind unless we change the way we think about AI altogether. Stuart argues that to ensure AI is provably beneficial for human beings, we must design machines to be inherently uncertain about human preferences. This way, we can ensure they are humble, altruistic, and committed to pursuing our objectives even as they set their own goals. We also discuss why AI needs regulation similar to civil engineering and medicine, the impact AI is going to make over the next decade, autonomous vehicles, among other topics.

417: C3.ai CEO Tom Seibel discusses how AI is going to impact commercial, industrial, and government systems. Tom believes that the global information technology market will jump from 3.5 trillion to 8.5 trillion in the next five years, mostly because of AI. This will be achieved by lowering the cost of production and delivering products and services with greater safety, greater cybersecurity, and lower environmental impact. That said, Tom recognizes the consequences of AI. He warns companies that if they do not adapt to new technologies, they will cease to be competitive, and he believes the U.S. will be in trouble if they do not win what he describes as a non-kinetic war over AI with China. We also Tom’s belief that large organizations have the advantage in the new generation of 21st-century technology, how Tom stays motivated after a long career of success, Tom’s view on the global rush at the boardroom and the CEO’s office to digitally transform their company, among other topics. 

375: MIT’s Max Tegmark, author of “Life 3.0″ and co-founder of the Future of Life Institute, asserts that the most important conversation in the world is the one about humanity’s future with artificial intelligence. Technology is a neutral force, and it is our responsibility to manage it wisely and steer it towards a beneficial future. As our technology becomes more powerful, so too do the positive and negative consequences. Max notes that we need to decide what type of future we want to have with AI so that its impact on society is beneficial, rather than harmful. We also discuss how governments, academia, and companies can help create a better future with AI, the comparisons between prior science advancements and today’s intelligence advancements, how Max became interested in AI, among other topics.

Kai-Fu is a prominent venture capitalist, technology executive, artificial intelligence expert, and author of the new book, “AI Superpowers. China, Silicon Valley, and the New World Order.” Currently, Kai-Fu is the founding CEO of Sinovation Ventures, a Chinese venture capital firm with $2 billion under management, a third of which is in AI. He founded Sinovation Ventures after leading Google’s initial entry into China as the President of Google China. Prior to Google, he spent a number of years at Microsoft as a Corporate Vice President. While at Microsoft he established Microsoft Research Asia, which is widely considered one of the best computer science research labs in the world.

Kai-Fu began his career as an AI researcher, having obtained a Bachelors of Science in Computer Science from Columbia University, and a Ph.D. in Computer Science from Carnegie Mellon.

In this interview, Kai-Fu discusses his new book, “AI Superpowers,” in which he highlights the stunning, government-supported progress China’s technology sector has made in recent years. He goes on to argue that China is well positioned to surpass the US in AI prowess, and the reasons for that country’s gains. We also discuss the risk of job displacement, why US companies struggle to break into the Chinese market, and why the reverse is also true, what Sinovation Ventures looks for when identifying new opportunities, and a variety of other topics.

Among other topics, Yoshua discusses the following issues with Metis Strategy:

  • Supervised verses unsupervised deep learning
  • The heart of deep learning: disentangled representations
  • The genesis and mission of Element AI
  • Exploratory AI research verses applied AI research
  • The development of the Montreal Institute of Learning Algorithms (MILA)
  • The significance Yoshua places on supportive and collaborative cultures
  • The evolution of AI in Montreal
  • Yoshua’s concerns bout lethal autonomous weapons (LAWs)

 

Yoshua Bengio, a pioneer of deep learning, is a Full Professor of the Department of Computer Science and Operations Research at the University of Montreal. Yoshua is also the Director of the Montreal Institute for Learning Algorithms (MILA) and a Senior Fellow of the Canadian Institute for Advanced Research (CIFAR), where he co-directs its program on deep learning.

Yoshua serves as an adviser to a number of enterprises and is a co-founder of Element AI, a startup that helps organizations embrace AI.

Yoshua is a co-author of the book “Deep Learning” and more than 300 other publications. He currently serves as action editor for the Journal of Machine Learning Research, as an associate editor for the Neural Computation journal, and as an editor for the journal Foundations and Trends in Machine Learning.

Yoshua earned a bachelor’s degree in engineering, a master’s degree in Computer Science, and a Ph.D. in Computer Science, all from McGill University.

Among other topics, Andrew discusses the following issues with Metis Strategy:

  • The genesis of Carnegie Mellon University’s School of Computer Science
  • The history of artificial intelligence
  • Aspects of human intelligence that have been automated to date
  • The impact of automation on jobs
  • Automated personal assistants as the predictor for the future eminent AI company
  • CMU’s strategies for retaining faculty talent
  • The two distinct safety concerns of AI
  • The supportive relationship between Pittsburgh’s government, universities, and tech and manufacturing companies

 

Andrew W. Moore has served as the Dean of Carnegie Mellon University’s School of Computer Science since 2014. He was a professor of computer science and robotics at CMU before taking a leave of absence, in 2006, to become founding director of Google’s Pittsburgh engineering office.

Andrew received an undergraduate degree in Mathematics and Computer Science and a PhD in Computer Science from Cambridge University.

Andrew is a fellow of the American Association for Artificial Intelligence.

Among other topics, Andrew discusses the following issues with Metis Strategy:

  • Andrew’s unique, evolving, and passion-driven career path
  • The impact of AI on existing industries
  • Recommendations for CIOs and CEOs starting their AI journey
  • Advantages of implementing a centralized AI org structure
  • Opportunities for smaller organizations to leverage AI
  • How lifelong learning can minimize jobs displaced through AI
  • The importance of building strong teams and cultures
  • Key cultural components for success: work ethic and lifelong leaning
  • Chinese verses US business culture

Most recently, Andrew served as Corporate VP and Chief Scientist of Baidu. During his tenure at Baidu, Andrew spearheaded AI projects and developed new lines of business. Prior to joining Baidu, Andrew co-founded Coursera, a Massive Open Online Course platform. Andrew also founded and led the “Google Brain” deep learning project. Through his work with Chinese and American companies, he has made significant contributions to the growth of machine and deep learning in both countries.

Andrew has written or co-authored over 100 research papers and is an adjunct professor at Stanford University. Andrew continues to guide Coursera as Co-Chair of the board

Andrew holds a bachelor of science degree from Carnegie Mellon University and a Master of Science in Electrical and Chemical Engineering from MIT. He also earned a PhD in Computer Science from the University of California Berkeley

Among other topics, Mike discusses the following issues with Metis Strategy:

  • The three innovation pillars that underpin Facebook’s ten-year roadmap
  • The talent needs of Facebook extending beyond computer engineering
  • Strategies for unifying a diverse talent pool to achieve a common goal
  • Engaging in partnerships within the industry to accelerate the rate of technological change
  • How utilizing Facebook in the workplace can bolster productivity and collaborative efforts among employees
  • The idea of “cultural engineering” to build cohesion across an organization

Mike Schroepfer’s Biography

Welcome to Metis Strategy’s Forum on World Class IT. I’m Peter High, and I’m pleased to welcome Mike Schroepfer to the broadcast. Mike is the Chief Technology Officer at Facebook. In that role, he leads the development of the technology strategies and teams that will enable Facebook to connect billions of people around the world and make significant breakthroughs in fields like artificial intelligence and virtual reality.

Before Facebook, Mike was the Vice President of Engineering at Mozilla Corporation, where he led the global and open product development process behind Firefox. Mike was formerly a distinguished engineer at Sun Microsystems, which acquired his company, CenterRun. He began his career working at various startups, including a digital effects software startup where he developed software that has been used in several major motion pictures.

Mike holds a bachelor’s degree and a master’s degree in computer science from Stanford University and has filed two U.S. patents.

I met with Mike in his office at Facebook headquarters in Menlo Park, California last week, and our conversation covered Facebook’s ten-year plan, and the three innovation pillars that he leads. Examples of innovations that the organizations are working on in the near and long-term, the methods he uses to evaluate recruits and employees, the way in which Facebook has maintained its innovative edge despite its extraordinary growth, among a variety of other topics.