The rapid development of artificial intelligence has led some to fear dangerous scenarios where the technology is smarter than the humans who created it, but some experts believe AI has already reached that point in certain ways. "If you define it as performing intellectual but repetitive and bounded problems, they already are smarter. The best chess players and GO players are machines. And soon we can train them to do all tasks like that. Examples include legal analysis, simple writing and creating pictures on demand," Phil Siegel, the founder of the Center for Advanced Preparedness and Threat Response Simulation, told Fox News Digital.

Kahneman, a Nobel Prize winner in Economic Sciences and the author of Thinking, Fast and Slow, noted an instance in which humans use judgment heuristics--shortcuts, essentially--to answer questions they don't know the answer to. In the example, people are given a small amount of information about a student: She's about to graduate, and she was reading fluently when she was four years old. From that, they're asked to estimate her grade point average.

Our expert-led blog series continues, with a new four-part edition, kicking off with finding out what our group of AI experts would see as their dream summit panel. Included are experts from MILA, Gartner, Google and more. Alexia chose the following for her dream summit panel: Firstly, Ian Goodfellow for his work on Generative Adversarial Networks (GANs) and adversarial examples (a big vulnerability in neural networks). Joining after was Anima Anandkumar for her work on Competitive Descent and Non-convex Optimization. Finally, Fei-Fei Li was added to the lineup for her work on ImageNet (the biggest categorized image dataset at the time and still a major benchmark for generative models), Robotics, and neuroscience applications.

Through my Twitter and on LinkedIn feeds I see a lot of postings about technology. Many (primarily technology experts) write about the massive potential of technologies, for example Artificial Intelligence (AI), Blockchain, Cloud, Internet of Things (IoT), mobile and other technologies. In the current blog I will refer specifically to AI, not to other technologies. Other people write about AI in a way that implies that they fear AI; that AI is a risk, maybe more than an opportunity. Articles with titles like "Robots will take our jobs. We'd better plan now, before it's too late" can create fear, especially when non-tech-experts read the title on Twitter, absorb the connotation "robots danger for my job", without reading the full article and doing additional research on the topic.

Artificial intelligence is being touted as a panacea for everything from curing cancer to preventing crime. However, to achieve such goals, the A.I. industry must first focus on the smaller, more practical solutions before it takes on bigger challenges--a process that involves working through countless iterations. The road to autonomous cars began with the invention of the wheel. It continued with the development of the horse-drawn carriage, the creation of the car, and hundreds of thousands of subsequent automotive advancements that spanned over a period of 133 years. It took this many years and many more models to create today's connected cars with their sophisticated telematics and advanced driver assistance systems.

KOLKATA: Nobel laureate and microfinance pioneer Muhammad Yunus has expressed concern over the rapid evolution of artificial intelligence (AI) and said machines may outrun humans in terms of efficiency and usefulness in the next 25-30 years. AI robots will able to develop on their own without human intervention beyond a point, he told PTI yesterday on the sidelines of Tata Steel Literary Meet 2018. "There should be some global regulatory guidelines on the development and research on this technology, which is primarily driven by greed," Yunus, the founder of Grameen Bank in Bangladesh, said. AI should be used for social issues like healthcare, flood and drought, Yunus opined. "There is no gatekeeper, no social guidelines... Even when a new medicine is introduced, it has to seek regulatory approvals. Why can't same rules apply for AI?" he asked.