My guest for the most recent episode was an AI expert Roman Yampolskiy. While listening to our conversation, you will fine-tune your understanding of AI from a safety perspective. Those of you who have decision- making authority in the IT Security world will appreciate Roman’s viewpoint on AI Safety.
Major Take-Aways From This Episode:
1) Wire heading or Mental Illness with Machines – Miss aligned objectives/incentives for example what happens when a sales rep is told to sell more new customers, but ignores profits. Now you have more customers but less profit. Or you tell your reps to sell more products and possibly forsake the long term relationship value of the customer. There are all sorts of misaligned incentives and Roman makes this point with AIs.
2) I can even draw a parallel with coaching my girls’ teams where I have incented them to combine off each other because I want this type of behavior. This can also go against you because you end up becoming really good at passing but not scoring goals to win.
3) AI Decision making: The need for AIs to be able to explain themselves and how they arrived at their decisions.
4) The IT Security implications of AI Chat bots and Social Engineering attacks.
5) The real danger of Human Level AGI Artificial General intelligence.
6) How will we communicate with systems that are smarter than us? We already have a hard time communicating with dogs, for example, how will this work out with AIs and humans?
7) Why you can’t wait to develop AI safety mechanisms until there is a problem…..We should remember that seat belts were a good idea the day the first car was driven down the road, but weren’t mandated till 60 years after…
8) The difference between AI safety and Cybersecurity. Continue reading →
In the next few years we will see the emergence of exponential technologies that, when implemented in unison, will greatly improve cyber security. One example that is relevant for CIOs is the joining of Artificial Intelligence and Big Data to help executives visualize cyber intelligence information to improve decision-making and better target IT investments.
Big Data offers enormous opportunity, but there are two core issues that need to be addressed. One problem with Big Data is that often we do not know how to interpret the data. When we do, it usually gets passed from expert to executive in a way that does not necessarily provide a better understanding of the information, or how it can be applied to the problem at hand.
The second issue is that often we do not know how to best interact with the data that we are interpreting. The days of 100-page data summaries are nearing an end. We now need effective and streamlined solutions to limit these inefficiencies. Continue reading →
Hod Lipson is a fascinating conversationalist.
Hod is a professor of Mechanical Engineering and Data Science at Columbia University in New York, and a co-author of the award winning book “Fabricated: The New World of 3D printing”, and “Driverless: Intelligent cars and the road ahead”, by MIT Press. Before joining Columbia University in 2015, Hod spent 14 years as a professor at Cornell University. He received his PhD in 1999 from the Technicon – Israel Institute of Technology, followed by a postdoc at Brandeis University and MIT. His work on self-aware and self-replicating robots challenges conventional views of robotics, and has enjoyed widespread media coverage. He has also pioneered many aspects of 3D Printing, including bio-printing, electronics printing, and now Food Printing, and launching the firs open-source printer in the US, the Fab@Home in 2005. Lipson has co-authored over 300 publications that received over 12,000 citations to date. He has founded four companies, and is frequent keynoter both in industry and academic events. His TED Talk on self-aware machines is one of the most viewed presentations on AI and robotics. Hod directs the Creative Machines Lab, which pioneers new ways to make machines that create, and machines that are creative.
There was literally too much ground to cover with Peter W. Singer. He was one of these interviews where you just have to let him run because he has so much to say. His knowledge and experience are too wide to cover in a short hour, but here are some key takeaways that you will learn when you listen.
Major Take-Aways From This Episode:
He is not a doomsday figure, but one that seeks to find alternatives, explain, and develop context to the changes that are impacting our lives.
He was on a research project that asked 60 people what are the 5 trends that are of the same magnitude the release of computer in 1980:
Hardware – Robots, autonomous vehicles
Software – IoT, Big Data, AI
Waveware – Energy Sources, solar, lasers
Hardware – Additive printing and manufacturing, 3d, bits to atoms
Massimo Pigliucci has a Doctorate in Genetics from the University of Ferrara (Italy), a PhD in Evolutionary Biology from the University of Connecticut, and a PhD in Philosophy from the University of Tennessee.
He has done post-doctoral research in evolutionary ecology at Brown University and is currently the K.D. Irani Professor of Philosophy at the City College of New York.
His research interests include the philosophy of biology, the relationship between science and philosophy, the nature of pseudoscience, and the practical philosophy of Stoicism. Prof. Pigliucci has been elected fellow of the American Association for the Advancement of