Content sponsored by Uber Freight
Unleashing the Power of AI in Logistics
Learn about current and future opportunities and use cases for artificial intelligence in logistics.
Learn about current and future opportunities and use cases for artificial intelligence in logistics.
To reduce the risk of accidentally using bad artificial intelligence, we need regulation — and skepticism.
On the Me, Myself, and AI podcast, NASA’s Vandi Verma explains how artificial intelligence supports space exploration.
Researchers describe how having robots work alongside humans can help companies measure performance more accurately.
Workers’ creativity will provide job security — even as robots take on parts of their roles.
A dedicated team can help maximize the utility — and competitive advantage — of automation systems.
New technologies can help solve critical global problems in energy, medicine, and urban planning.
Returning “boomerang” CEOs, job crafting, and working with robots.
Despite advances in automation, good people and good techniques remain essential to manual work.
How to boost innovation capacity and institutional pride, and addressing tech inequity and the ethics of automation.
The increasing adoption of AI and robots has implications for jobs, biases, and data privacy.
WeWork’s disastrous week, AI breaks down business silos, and the most important leadership skill.
As AI becomes more ubiquitous, we need clear systems for keeping it in check.
The time when companies could simply ask the world to trust AI-powered products is long gone.
Tim O’Brien explains his role as Microsoft’s first full-time manager for AI policy and ethics.
Smart machines can help pick crops and reduce traffic — but what’s their impact on privacy?
Until regulations catch up, AI-oriented companies must establish their own ethical frameworks.
Businesses that make and sell products that replicate human connection are serving a deep need, but they may also be changing social norms in ways that can’t be reversed.
Automation will affect jobs in four ways. The path jobs take depends on what kind of value they provide — and how.
The future of AI looks much like the present, with machines helping humans to do their jobs better, not replacing them.