The brain is clearly one of the next great frontiers. In this World Economic Forum Article on reading minds, we get a glimpse into the exponential progression of brain science. The author cites research published by AI experts in China, the US and Japan showing that computers can replicate what people are thinking by using functional magnetic resonance imaging (fMRI) machines that measure brain activity – linked to deep neural networks that replicate human brain functions.
I had the pleasure of recording a Podcast with AJ Goldstein on a wide ranging set of topics. The central theme was artificial intelligence. We took a journey to the future and explored several possible paths for artificial intelligence. AJ had the following kind words to say as he shared the Podcast in various channels:
Last month I had the opportunity to sit down with one of the world’s leading futurists, Frank Diana, to discuss the future of artificial intelligence.
Today the episode has been released, and it’s one of the most meaningful conversations I’ve had on the podcast.
Rather than provide a subjective one-sided view, with every question that I asked about the future of AI, Frank responded with presenting both sides. He helped me understand “what does the optimist say?”, “what does the pessimist say?”, “what is the utopian view?”, “what’s the dystopian view?”… and in this way it quickly became one of the most balanced conversations I’ve had the chance to be a part of.
With over 30+ years of experience to pull from, Frank provided so many fascinating lenses through which to view our changing future… all the while outlining an insightful playbook of what we can do as individuals, communities, and societies to prepare for the inevitable change that’s going to come.
AJ drove the discussion on the following topics:
- Addressing the two tipping points that have occurred thus far in humanity and changed what it means to be human– and the coming third tipping point.
- Addressing some of the common fears that people have about the implications of advanced AI and robotics on the future.
- How the shift to an automated society might cause initial elimination of jobs, but ultimately will allow more time for pursuit of creative, entrepreneurial endeavors.
- A discussion on the characteristics needed to succeed in a world of change, and what you personally should do to prepare for it.
Enjoy the show!
Yesterday on Coffee Break with Game Changers, Bonnie D. Graham hosted a show focused on designing the future of humanity. You can listen to the rebroadcast here. The session abstract is included below. The show participants included: Bonnie, Masha Krol, Ian Gertler, Maricel Cabahug and myself.
In her opening monologue, Bonnie said:
The first impact of AI will be that more and more non-designers develop their creativity and social intelligence skills to bolster their employability – in the future, everyone will be a designer
With all the talk of AI and its potential negative impact on humanity, we lose sight of the positive. As an engine for augmentation, artificial intelligence is likely to advance our human potential. The effectiveness of what we do stands to improve – whether its creativity and design, or oriented in analytics. Some would prefer to call it “Augmented Intelligence” versus artificial intelligence. If we view the progression of AI on a spectrum, we could indeed reach the place of augmentation and never approach the other end of the spectrum. This lies at the heart of the artificial intelligence debate.
I just added another very good book to the Book Library: Life 3.0: Being Human in the Age of Artificial Intelligence – A New York Times Best Seller. Author Max Tegmark takes a fascinating journey through possible AI futures. His physics oriented perspective provides an interesting point of view, as humanity wrestles with the ultimate path of artificial intelligence.
Mr. Tegmark tackles the discussion around how much machines will encroach on human domains, by illustrating a metaphor from Hans Moravec:
Today on Coffee Break with Game Changers, Bonnie D. Graham hosted a show focused on designing the future of humanity. You can listen to the rebroadcast here. The session abstract is included below, as well as a Twitter stream that provides insight into the topic and our discussion. The show participants included: Bonnie, Masha Krol, Ian Gertler, Maricel Cabahug and myself.
As science and technology continue their rapid advance, traditional constructs are challenged; Supply chains are no exception. Here is a brief video that highlights many of the advances that transform how we think about supply chains in the future. As it wraps up, a curated set of videos that touch on several of these advances is provided. Special thanks to Bill Quinn, Rose Castellon-Rodriguez, and Kevin Mulcahy for producing the video.
Be sure to visit the Reimagining the Future YouTube Channel to explore additional topics.
Today on Coffee Break with Game Changers, Bonnie D. Graham hosted a show focused on the future of prediction. You can listen to the rebroadcast here. The session abstract is included below, as well as a Twitter stream that provides insight into the topic and our discussion. The show participants included: Bonnie, Gray Scott, and myself
The buzz: “Those who have knowledge, don’t predict. Those who predict, don’t have knowledge.” (Lao Tzu)
Given the uncertainty, pace, and unexpected nature of today’s world, there are too many unknowns for us to effectively predict the future. Reality check: A convergence across science, technology, politics, society, economics, the environment, and growing ethics discussion, has created a complex web that requires the type of system thinking that may exceed our human capacity. Do machines hold the answer? Can they predict the path of an overwhelming number of possible futures?
The experts speak. Frank Diana, TCS: “We have a duty to think hard about what may be, so as to better prepare society for the changes that may come” (Richard Baldwin). Gray Scott, Futurist: “Prediction is not just one of the things your brain does. It is the primary function of the neo-cortex, and the foundation of intelligence” (Jeff Hawkins). Join us for Tech Magic or Hype: Can We Teach Machines to Predict?