Illinois, known as a national test bed for regulation, has struck again in an unlikely area; the use of artificial intelligence (AI) in job interviews. On 11 August, Democratic Governor JB Pritzker signed the Illinois Artificial Intelligence Video Interview Act (AIVI Act) into law. Illinois is now the first state to regulate the use of algorithms (interview bots) and other forms of AI to analyse applicants during video interviews from the beginning of 2020. AI in video interviews is a growing trend in hiring practices across the US. Companies rely on video interviews to reduce the stages of these processes to get a sense for candidates, who are asked to answer questions and present themselves just as they would in an in-person interview. Companies typically use the services of third-party platforms such as Hire Vue to conduct video interviews.

Yolanda Gil, a research director at the USC Viterbi Information Sciences Institute (ISI), co-authored a new 20-year Artificial Intelligence Roadmap. An outbreak of a highly contagious mosquito-borne virus in the U.S. has spread quickly to major cities around the world. It's all hands on deck to stop the disease from spreading–and that includes the deployment of artificial intelligence (AI) systems, which scour online news and social media for relevant data and patterns. In consultation with human scientists, AI systems could help contain infectious diseases and identify effective vaccines. Working with these results, and data gathered from numerous hospitals around the world, scientists discover an interesting link to a rare neurological condition and a treatment is developed.

In this special edition of the Futurum Tech Podcast, Daniel Newman takes a look at some of the trends and challenges in the future of work with interviewees Edward Bagden, Associated Director of Flight Operations and Safety at LIFT Academy, and Greg Bowen, CTO and SVP of Digital Acceleration at Dell Digital, the IT organization that supports Dell. In the next decade, there are many exciting ways that AI and other emerging technologies will change the future of work. One of the ways AI will--and actually already is--changing the workplace is as it relates to inclusive talent. Removing bias from the talent recruitment processes and creating a culture of diversity and inclusivity are areas where AI-powered technology can help companies make significant inroads. On that topic, on the podcast today my guests and I took a dive into LIFT Academy, a company that is on the cutting edge of using AI for recruiting and retaining talent for the commercial piloting industry. LIFT's Edward Bagden shared that the company's goal is to remove the socio-economic bias historically associated with gaining piloting skills. Rather than limiting the company's talent pool to those who can afford to fly, they focus first on finding people who would be good, solid team players for their company, and then provide the training they need to be successful. Finding people who have a passion for a job, then training them to do the job makes a lot of sense. Based on an algorithm the company has developed to determine what will make the most successful piloting candidate, the company guarantees a piloting job to every candidate it accepts to its training program. Another way AI is changing the future of work relates to the ability of an organization to empower workers. Dell Digital's Greg Bowen discussed the concept of supporting distributed and remote workers by creating platforms that enable real-time collaboration. The future of work is both employee and values-driven, he says, and AI is part of that shift. In terms of challenges AI faces, there are many things that make tech adoption and rollout a challenge, the most important of which is culture.

What began as a way to increase public safety has turned into a civil rights concern. Some residents of San Diego, California are demanding the removal of some 4,000 'Smart Streetlights' which they claim are an invasion of privacy. The devices use sensor nodes to gather a range of information, such as weather and parking counts, but also uses facial recognition technology to count pedestrians. Some residents of San Diego, CA are demanding the removal of some 4,000 'Smart Streetlights' which they claim are an invasion of privacy. The San Diego City Council approved the installation of the Smart StreetLights in December 2016 - and now approximately 4,200 are in place.

Recently, someone from the editorial team for Kite, an AI autocomplete for Python, reached out to see if I would share some of their content. Since I thought the tool looked awesome, I figured I'd help them out. After some chatting, we decided on this data science article by Kirit Thadaka. How often do you think you're touched by data science in some form or another? Finding your way to this article likely involved a whole bunch of data science (whooaa).

Recently, someone from the editorial team for Kite, an AI autocomplete for Python, reached out to see if I would share some of their content. Since I thought the tool looked awesome, I figured I'd help them out. After some chatting, we decided on this data science article by Kirit Thadaka. How often do you think you're touched by data science in some form or another? Finding your way to this article likely involved a whole bunch of data science (whooaa).

Hah! That's funny, I was just looking for information about this project too. However, I was one of the guys involved (in Robokoneko project, more specifically). Explaining what actually went wrong is a bit lengthy process and goes deeply into philosophy of mind, so to put this as short as possible: what do you think could be achieved in terms of understanding human mind by randomly evolving neural networks? If a being was created, fully aware of its existence, would you be able to tell what led to forming its consciousness? Their goals were absolutely pointless.

Imagine being able to know if you have Parkinson's disease, multiple sclerosis, liver failure, Crohn's diseases, pulmonary hypertension, chronic kidney disease, or any number of cancers based on a simple, non-invasive test of your breath. Breath analyzers to detect alcohol have been around for well over half a century--why not apply the same concept to detect diseases? A global team of scientists from universities in Israel, France, Latvia, China and the United States have developed an artificial intelligence (AI) system to detect 17 diseases from exhaled breath with 86 percent accuracy. The research team led by Professor Hassam Haick of the Technion-Israel Institute of Technology collected breath samples from 1404 subjects with either no disease (healthy control) or one of 17 different diseases. The disease conditions include lung cancer, colorectal cancer, head and neck cancer, ovarian cancer, bladder cancer, prostate cancer, kidney cancer, gastric cancer, Crohn's disease, ulcerative colitis, irritable bowel syndrome, idiopathic Parkinson's, atypical Parkinson ISM, multiple sclerosis, pulmonary hypertension, pre-eclampsia toxemia, and chronic kidney disease.

Understanding the behavior of artificial intelligence(AI) agents is one of the pivotal challenges of the next decade of AI. Interpretability or explainability are some of the terms often used to describe methods that provide insights about the behavior of AI programs. Until today, most of the interpretability techniques have focused on exploring the internal structure of deep neural networks. Recently, a group of AI researchers from the Massachusetts Institute of Technology(MIT) are exploring a radical approach that attempts to explain the behavior of AI observing them in the same we study human or animal behavior. They group the ideas in this area under the catchy name of machine behavior which promises to be one of the most exciting fields in the next few years of AI.

Two years after Vishal Sikka stepped down as the CEO and executive vice chairman of Infosys, an Indian IT services company, he has launched a new venture in artificial intelligence. Vianai, a Palo Alto, Calif.-based startup, last week announced its arrival with $50 million in seed financing. Sikka believes AI has the potential not just to transform business but also to "amplify humanity," as he puts it. He sees AI as a force multiplier that can tackle issues ranging from climate change to self-improvement. "I would love to see tens of millions of people to be able to build intelligent systems, and billions to be able to bring basic intelligence into anything that they do," he says. Sikka, who holds a Ph.D. in AI from Stanford University, demonstrated the Vianai platform at a keynote address at the Oracle OpenWorld conference on September 17. Before his tenure at Infosys, he spent 12 years at German software company SAP, where he was last a member of its executive board. Sikka also serves on the supervisory board of the BMW Group and as an advisor at the Stanford Institute for Human-Centered Intelligence (HAI).