This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review's editorial staff. AI-enabled fraud and the coming impact of quantum computing are redefining digital-asset security, putting pressure on owners and service providers to act now. Cryptocurrency thieves are getting creative. Taking advantage of the desire to learn more about crypto and banking on the digital assets' reputation as a way to get rich quick, AI-generated video tutorials are touting ways of make money from crypto-trading arbitrage -- purportedly teaching viewers how to create maximal extractable value from trades using smart contracts.

Intelligent audio and intuitive tools are transforming collaboration from connection to creativity, says Sam Sabet, chief technology officer at Shure, and Brendan Ittelson, chief ecosystem officer at Zoom. When work went remote, the sound of business changed. What began as a scramble to make home offices functional has evolved into a revolution in how people hear and are heard. From education to enterprises, companies across industries have reimagined what clear, reliable communication can mean in a hybrid world. For major audio and communications enterprises like Shure and Zoom, that transformation has been powered by artificial intelligence, new acoustic technologies, and a shared mission: making connection effortless. Necessity during the pandemic accelerated years of innovation in months. Audio and video just working is a baseline for collaboration, says chief ecosystem officer at Zoom, Brendan Ittelson. That expectation has shifted from connecting people to enhancing productivity and creativity across the entire ecosystem. Audio is a foundation for trust, understanding, and collaboration.

Meta's chief technology officer has called it "the great honor of my life" to be enlisted in a new US army corps that defence chiefs set up to better integrate military and tech industry expertise, including senior figures from top tech firms that also include Palantir and OpenAI. Andrew Bosworth, a long-term lieutenant to Mark Zuckerberg known widely as "Boz", is one of several senior Silicon Valley executives commissioned to the rank of lieutenant colonel in the corps, called Detachment 201, which the US army says will "fuse cutting-edge tech expertise with military innovation". Bosworth, who joined Facebook in 2006, was sworn into the army reserves earlier this month alongside Shyam Sankar, the chief technology officer of Palantir, a technology firm with extensive defence contracts, Kevin Weil, chief product officer of OpenAI, and Bob McGrew, an adviser at Thinking Machines Lab, a 10bn AI company. They wore military fatigues at the swearing-in ceremony but will not be full-time soldiers. The recruitment is a sign of the increasing importance of technology in modern warfare and growing commercial and research links between some of the largest tech firms and the military.

Six months later, the president issued a sweeping executive order that set a regulatory course for AI. This all happened because ChatGPT had stunned the world. In an instant it became very, very obvious that the United States needed to speed up its efforts to regulate the AI industry--and adopt policies to take advantage of it. While the potential benefits were unlimited (Social Security customer service that works!), so were the potential downsides, like floods of disinformation or even, in the view of some, human extinction. Someone had to demonstrate that to the president.

Fox News correspondent Grady Trimble has the latest on fears the technology will spiral out of control on'Special Report.' Artificial intelligence leader OpenAI has introduced the ability to turn off chat history in its popular chatbot ChatGPT. In a Tuesday blog post, the company said conversations that are started when chat history is disabled will not be used to train and improve its models and will not appear in the history sidebar. The controls are found in the ChatGPT settings and can be changed at any time. The mode rolled out ot all users.

Meta, formerly known as Facebook, has announced plans to commercialize its proprietary generative Artificial Intelligence (AI) technology by December. The company sees generative AI as a critical technology for content creation within the Metaverse. Metaverse is a virtual reality space that Meta is developing. This comes after years of research and development by the tech giant, putting them on par with competitors such as Google in finding practical applications for cutting-edge technology. Let's find out what Meta's Chief Technology Officer, Andrew Bosworth, has to say.

Emerging technologies, such as artificial intelligence (AI) and machine learning, will play a leading role in influencing operational efficiency and business decision-making in 2023. The reliance on these technologies is such that according to GartnerOpens a new window, the worldwide AI software market will reach $62 billion in 2022. In fact in a poll by SpiceworksOpens a new window, 42% of tech professionals attested that artificial intelligence will be the biggest technology trend for 2022. Let's hear from experts on ways AI will evolve in 2023 to enable new use cases for businesses of all sizes. Myles Gilsenan, the vice president of data, analytics, and AI at Apps Associates, believes that AI will continue to evolve and transform industries, businesses, and our day-to-day lives.

Artificial intelligence can help remove unconscious bias when recruiting to fill tech positions. But can it be a double-edged sword for tech leaders when it comes to promoting diversity & inclusion? The use of artificial intelligence (AI) is growing rapidly, infiltrating areas of business which have traditionally required humans to undertake what are often low-level tasks. With this comes the potential for artificial intelligence to help improve diversity & inclusion, using algorithms to arrive at decisions based around objective facts or statistics rather than subjectivity or bias. One obvious area is in the recruitment space, where AI has the potential to help organisations hire the best candidates, regardless of their background, or to improve representation of particular groups.

Automation represents perhaps the clearest embodiment of Benjamin Franklin's legendary "time is money" aphorism -- and artificial intelligence (AI)-driven networks are one area where it's relatively easy to see the near-term benefits that give new meaning to Franklin's simple phrase. Network automation simplifies operations for network teams and reduces configuration errors. So, it stands to reason that greater automation through AI will deliver a more predictable and reliable network that seemingly can speed up time while saving lots of money. We turned to the CIO Experts Network of IT professionals and industry analysts to collect their views on AI-driven networks and how the technology is likely to change the lives of network teams. "I think of an AI-driven network as one that can be prepared in advance of a catastrophe or breach by capturing and saving critical data prior to a network outage or cyber event," says Scott Schober (@ScottBVS), President/CEO at Berkeley Varitronics Systems, Inc. "When this is an integrated part of the network, troubleshooting time is reduced delivering improved efficiencies for network teams. Still, like all things AI, it's necessary to sort what's real from what's hype, experts say. Hyped up AI technologies are often rolled out as the solution to all problems, observes Nicki Doble, Chief Transformation Officer AIA Philippines. "I don't buy into the hype," she says. "However, I absolutely agree that an AI-driven network helps in detecting new and never seen before threats.

Agencies' digital transformation efforts in areas like artificial intelligence must also consider workforce needs, according to a panel of government technology experts. Speaking at an ATARC event on Thursday, the panelists asserted that it does not matter how good the data or AI is, if people do not know how to use it correctly or understand it. As a result, the panelists emphasized the need for data literacy, education and training. "I can build the best AI model, but if I put it in the hands of my investigator, and if he has a ton of questions, then we just lost them," Ben Joseph, chief data officer for the United States Postal Service Office of Inspector General, said. "Earlier this year, we actually punched out a small program in terms of data literacy…so we educate my workforce, investigators, auditors and everybody else, like'how do you interpret data?'" "It's almost like you have to right-size the AI education for the position or the role that the individual is playing in the lifecycle," William Streilein, chief technology officer at the Department of Defense's Office of the Chief Digital and Artificial Intelligence Officer, said.