The integration of artificial intelligence (AI) into businesses is no longer new. Task automation and chatbots are rapidly becoming the norm, cropping up across industries seeking increased efficiencies. But AI's potential extends far beyond menial tasks, and companies are now looking to leverage AI in a way that yields a competitive edge. That's where the CIO can come in as a coach to the rest of the company, an explorer of AI and its possibilities. The CIO, much more than just the IT leader they were considered to be in years past, today faces an open frontier of opportunities and emerging technology to help drive transformation.

Many of us like to think that artificial intelligence could help eradicate biases, that algorithms could help humans avoid hiring or policing according to gender or race-related stereotypes. But a new study suggests that when computers acquire knowledge from text written by humans, they also replicate the same racial and gender prejudices--thus perpetuating them. Researchers at Princeton University and Britain's University of Bath found that machine learning "absorbs stereotyped biases" when trained on words from the internet. Their findings, published in the journal Science on Thursday, showed that machines learn word associations from written texts that mirror those learned by humans. "Don't think that AI is some fairy godmother," said study co-author Joanna Bryson.

"Today is the slowest rate of technological change you will ever experience in your lifetime," wrote Shelly Palmer in his e-book Data-Driven Thinking (Digital Living Press, 2016). As one of the world's premier voices on the accelerating pace of digital technology, he is increasingly preoccupied with helping companies and individuals prepare for the dramatic changes he sees coming, particularly in entertainment and media. Palmer started his career at age 12 as a musician, playing the clarinet, saxophone, and flute in the 1970s in venues around New York. He was also an early experimenter with analog and digital synthesizers. He holds patents for two major interactive television technologies, one of which -- a method for syncing broadcast TV with server-based text, known as enhanced television -- was adopted by Monday Night Football and Who Wants to Be a Millionaire? His background also includes writing the theme music for Spin City and Live with Regis and Kathie Lee, and conducting the London Symphony Orchestra. Currently, he is Fox 5 New York's on-air tech and digital media expert and the proprietor of a popular and prescient email newsletter that covers the impact of technology on media and daily life, with a special focus on smart cars and smart homes. For the past decade, as a venture capitalist and CEO of his own consulting firm and marketing agency, the Palmer Group, Palmer has focused his attention on the evolution of advertising, marketing, and related businesses, along with leading-edge technologies such as smart home systems and data analytics. We recently talked with Palmer in New York. Conscious of the intertwined trajectories of trends in technology and media, we sought to explore how artificial intelligence (AI) and the churn in business models could affect advertising, media, and related fields over the next few years.

A true lie is a lie that becomes true when announced. In a logic of announcements, where the announcing agent is not modelled, a true lie is a formula (that is false and) that becomes true when announced. We investigate true lies and other types of interaction between announced formulas, their preconditions and their postconditions, in the setting of Gerbrandy's logic of believed announcements, wherein agents may have or obtain incorrect beliefs. Our results are on the satisfiability and validity of instantiations of these semantically defined categories, on iterated announcements, including arbitrarily often iterated announcements, and on syntactic characterization. We close with results for iterated announcements in the logic of knowledge (instead of belief), and for lying as private announcements (instead of public announcements) to different agents. Detailed examples illustrate our lying concepts.

Google's TensorFlow has been a hot topic in deep learning recently. The open source software, designed to allow efficient computation of data flow graphs, is especially suited to deep learning tasks. It is designed to be executed on single or multiple CPUs and GPUs, making it a good option for complex deep learning tasks. In it's most recent incarnation – version 1.0 – it can even be run on certain mobile operating systems. This introductory tutorial to TensorFlow will give an overview of some of the basic concepts of TensorFlow in Python. These will be a good stepping stone to building more complex deep learning networks, such as Convolution Neural Networks and Recurrent Neural Networks, in the package.

Exponential progress in artificial intelligence (AI) and machine learning, fuelled by the combination of cloud, big data and new algorithms, is transforming the retail industry. As AI leverages big data to automate, predict and personalize, retail is testing and implementing these applications to garner robust competitive advantages. The key focus for AI in retail is customer relationships. In times of concerns for the retail sector in the UK where sales posted biggest quarterly fall since 2010, the refashioning of this industry comes as a breath of fresh air with many opportunities to come. Global Artificial Intelligence Opportunities in Retail, 2017, new research from Frost & Sullivan's Connected Industries Growth Partnership Service, offers an overview of AI and its relevance to business in 2017.

Business decision makers are optimistic about artificial intelligence and the impact it will have on their businesses, according to a new study by PwC. "A Revolutionary Partnership: How AI Is Pushing Man And Machine Closer," a survey of 2,500 U.S. consumers and business decision makers, found that business leaders, specifically, believe AI is going to be fundamental in the future. In fact, 72% termed it a "business advantage." Business decision makers said they are most optimistic about AI's potential to increase efficiencies with automated communications and alerts to enable more proactive approaches (70%) and to improve big data analytics (59%). Additionally, PwC found, AI has the potential to minimize customer service pain points, with consumers beginning to prioritize AI service experiences over human contact.

Computers of the future could collect, store or delete your thoughts without your knowledge, experts claim. In a new study a pair of bioethicists claim that'neurotechnology' that links up to the brain could become so advanced and widespread that it is targeted by hackers. This will give intruders unauthorised access to the mind, allowing them to eavesdrop on thoughts and even delete them. Computers of the future could steal or even delete your thoughts, experts have claimed. The authors explain that as'neurotechnology' improves and becomes commonplace, there is a risk that the technology could be hacked.

FILE - This Tuesday, May 6, 2014, file photo shows a sign outside Fiat Chrysler Automobiles world headquarters in Auburn Hills, Mich. Fiat Chrysler and Google said Tuesday, April 25, 2017, for the first time will offer rides to the public in the self-driving automobiles they are building under an expanding partnership.

Element Data's Chief Technology Officer Charles Davis said, "The community of sophisticated artificial intelligence and machine learning experts is in high demand. We are fortunate to have such highly regarded industry leaders on our team." PV Cube's Co-Founder Vish Vadlamani said, "We are excited to bring our expertise to the Element Data team. We share a common vision for the future and how our existing technology can integrate into the efforts currently underway to improve decision making and analysis." The engineering team of Element Data is comprised of veteran developers, software architects and mathematicians with world-class expertise and named on over 50 awarded patents.