Olaf Groth, the CEO of Cambrian.ai and author of the forthcoming book "Solomon's Code," recently joined Deutsche Welle anchor Brent Goff to discuss the global implications of artificial intelligence, data usage and trade policy. The conversation on DW News examined the competing U.S., European and Chinese models of trade and data economics, including issues of power projection, privacy and prosperity at a time when human and machine intelligence is becoming increasingly intertwined.Read More
Many thanks to my stellar Cambrian.ai team, Dan Zehr and Mark Nitzberg, and the students of my Business & Global Society course at Hult International Business School, as well as the research team for our book (https://www.amazon.com/Solomons-Code-Humanity-Thinking-Machines/dp/168177870X) for helping me prepare for Tuesday's testimony during the California State Assembly's Hearing on AI.
The economic and human potential of AI is significant. Our state is the 6th largest economy in the world and one of a handful of AI innovation hubs globally. It will co-lead the transition of the global economy into the era of cognitive computing. We need to make sure that our policies facilitate sustainable human and economic growth with responsible entrepreneurship, transparency, explainability, agency, privacy, safety and cybersecurity.
This vibrant state has struck the balance between business growth and ecological and social sustainability before and we can do it again.Read More
Olaf Groth and Mark Nitzberg's book is available for pre-order on Amazon.
A thought-provoking examination of artificial intelligence and its influence on human values, culture, power, and economics as technology continues to change our world.Read More
If data is the new oil, then AI is evolving to be the new engine driving the emerging "autonomy economy." We need rules of the road.
See our piece with Mark Nitzberg and Mark Esposito, Ph.D. here (in print at the end of October):
TEDx Talk: Human Values and Power in a World of Artificial Intelligence | Olaf Groth | Hult-Ashridge
The future of AI is already here: AI and its "cousin technologies" are starting to permeate our lives and societies. As it gains insight and decision power, AI needs to empower the dynamically evolving values and growth of humans and societies in turn. Rather than getting caught up in dystopian futures, we should harness AI's vast potential for positive transformative change responsibly. To that end, we need a new global multi-stakeholder institution organizing a representative congress to negotiate a modern, digital Magna Carta and to govern AI transparently within and across borders. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
Original article: http://medcitynews.com/2017/08/darpa-researchers-want-know-machine-learning-algorithms-get-wrong/
Commentary: Certainly, there are some very detrimental consequences of inexplicability. What is the morality of in/transparency? In which domains do we need public or multi-stakeholder transparency to mitigate errors, biases, abuse or manipulation? Conversely, are there areas where it's justifiable that explanatory functions should be in the hands of only one party? - Public health decisions for which mass panics are a risk, individual or group identity issues where psychological tensions could arise, competitive decisions in corporate strategy, national security or intel analysis, crime investigations, international trade negotiations, dating / trading / shopping agents, personal bouncer bots, etc? Are the rules for the AI-age different than in pre-AI era, because it penetrates our lives more deeply, pervasively, and with more 2nd and 3rd order unintended consequences?Read More
My co-author and Cambrian collaborator Mark Nitzberg and I are glad to have contributed in humble ways to this very timely report by Sir Tim Berners-Lee's WebFoundation.org. AI has the potential to be the great equalizer but also the risk of increasing the digital and economic divides between the world's rich and poor. Harnessing opportunity and mitigating risk will require socio-technical policies and governance institutions for which all countries are ill-equipped, but those without representative multi-stakeholder governance experience, large data pools and / or large markets will have a particularly hard time.
Don't fall victim to the resource curse and don't enable the global addiction to oil. Instead, diversify and create the future with jobs geared to 2020, not 1980, by investing existing oil wealth in eco-experience tourism, digital/IOT, wind energy, etc.
Thanks, Steve Westly, for sharing. With respect to the article's consideration that this could hamper investment in lower emissions combustion engines, I'm not sure how much that holds: for one, engines that will be in new cars hitting the market over the next 10-15 years are already being developed, so that's a sunk investment. In parallel, investments in electrification are well under way. Lastly, 23 years seems like an ample amount of time for a smart investment transition (applying options theory), even for a complex product. So, I'm optimistic: I'd expect less of a canibalization effect and more of a resurgence of European car makers' R&D leadership in their strategic home markets in electrification and AI-based smart vehicles. What an opportunity to reinvent a futures-challenged industry with systemic impact on economy and society at large!