Financial Times reporter Andrew Hill highlights “The Geek Way,” a new book by Principal Research Scientist Andrew McAfee that explores the success behind “geek” culture in companies. Hill notes that McAfee has, “pinpointed some important norms sustaining the world’s most admired, and fastest growing, organizations.”
Principal Research Scientist Andrew McAfee speaks with Bloomberg hosts Carol Massar and Tim Steinbeck about his new book “The Geek Way” and the future of artificial intelligence. “I personally am not worried about the existential, the alignment risks of AI,” says McAfee. “All very powerful tools bring risks and harm with them, and they demand vigilance. We have got to be careful about it. I don’t think AI is any big exception to that trend or requires us to do radically different things, we just have to be vigilant and stop the bad uses.”
Prof. Russ Tedrake and Max Bajracharya '21 MEng '21 speak with TechCrunch reporter Brian Heater about the impact of generative AI on the future of robotics. “Generative AI has the potential to bring revolutionary new capabilities to robotics,” says Tedrake. “Not only are we able to communicate with robots in natural language, but connecting to internet-scale language and image data is giving robots a much more robust understanding and reasoning about the world.”
Researchers from MIT and elsewhere have developed a new 3D printing process that “allows users to create more elastic materials along with rigid ones using slow-curing polymers,” reports Tony Ho Tran for the Daily Beast. The researchers used the system to create a, “3D printed hand complete with bones, ligaments, and tendons. The new process also utilizes a laser sensor array developed by researchers at MIT that allows the printer to actually ‘see’ what it’s creating as it creates it.”
Principal Research Scientist Andrew McAfee speaks with CNBC about the contributing factors to a successful start-up company. “Incumbent industries and companies are so fond of really elaborate planning cycles and the geeks just build things, get feedback and do again on a fast cadence,” says McAfee.
Principal Research Scientist Andrew McAfee discussed the impact of artificial intelligence and technology on businesses at the Fortune CFO Collaborative, reports Sheryl Estrada for Fortune. Generative AI is “going to diffuse throughout the economy,” said McAfee. “It’s going to separate winners from losers, and it’s going to turbocharge the winners faster than you and I have been expecting.”
The Economist reporter Rachel Lloyd predicts a “distinct change” in topics for bestselling books in 2024. Lloyd predicts artificial intelligence will take a lead, spotlighting “The Heart and Chip: Our Bright Future with Robots,” by Prof. Daniela Rus, director of CSAIL, as a leading example of the shift.
Prof. David Rand speaks with Wall Street Journal reporter Christopher Mims about the impact of generative AI on the spread of misinformation. “When you show people deepfakes and generative AI, a lot of times they come out of the experiment saying, ‘I just don’t trust anything anymore,’” says Rand.
Writing for Fortune, Sloan research fellow Michael Schrage and his colleagues, explain how AI-enabled key performance indicators (KPIs) can help companies better understand and measure success. “Driving strategic alignment within their organization is an increasingly important priority for senior executives,” they write. “AI-enabled KPIs are powerful tools for achieving this. By getting their data right, using appropriate organizational constructs, and driving a cultural shift towards data-driven decision making, organizations can effectively govern the creation and deployment of AI-enabled KPIs."
Prof. Nick Montfort speaks with Inside Higher Ed reporter Lauren Coffey about the use of AI tools in art and education. “The primary concern should be how can we provide new education, how can we inform students, artists, instructors,” says Montfort. “How can we, not so much bolt policies or create guardrails, but how can we help them understand new technologies better and their implications?”
Los Angeles Times reporter Brian Merchant spotlights Joy Buolamwini PhD '22 and her new book, “Unmasking AI: My Mission to Protect What is Human in a World of Machines.” “Buolamwini’s book recounts her journey to become one of the nation’s preeminent scholars and critics of artificial intelligence — she recently advised President Biden before the release of his executive order on AI — and offers readers a compelling, digestible guide to some of the most pressing issues in the field,” writes Merchant.
Joy Buolamwini PhD '22 speaks with Brian Bergstein of The Boston Globe’s “Say More” podcast about her academic and professional career studying bias in AI. “As I learned more and also became familiar with the negative impacts of things like facial recognition technologies, it wasn’t just the call to say let’s make systems more accurate but a call to say let’s reexamine the ways in which we create AI in the first place and let’s reexamine our measures of progress because so far they have been misleading,” says Buolamwini
Prof. Sinan Aral speaks with Yahoo! Finance Live host Julie Hyman about President Biden’s executive order on artificial intelligence regulation. “This is big, it's bold, it's broad,” says Aral. “It has a number of provisions. It has provisions for safety, for privacy, for equity, for workers, for competition and innovation, and leadership abroad. And it really targets those foundation models, the big AI companies in terms of their safety and security standards.”
Joy Buolamwini PhD '22 writes for The Boston Globe about her experience uncovering bias in artificial intelligence through her academic and professional career. “I critique AI from a place of having been enamored with its promise, as an engineer more eager to work with machines than with people at times, as an aspiring academic turned into an accidental advocate, and also as an artist awakened to the power of the personal when addressing the seemingly technical,” writes Buolamwini. “The option to say no, the option to halt a project, the option to admit to the creation of dangerous and harmful though well-intentioned tools must always be on the table.”
Graduate student Shayne Longpre speaks with Washington Post reporter Nitasha Tiku about the ethical and legal implications surrounding language model datasets. Longpre says “the lack of proper documentation is a community-wide problem that stems from modern machine-learning practices.”