Opinion

Purpose-built AI learning platforms that don’t give students the answer, as opposed to tools that allow for direct answer generation like ChatGPT, are the way to avoid making students utterly dependent upon AI.

Colleges and universities know they need to get students comfortable with using artificial intelligence tools, but discussions should focus more on people and pedagogy than rules, regulations and specific brands.

Supporting cutting-edge research at colleges and universities — even, or especially, in its earliest stages, before anyone can know for sure what will come of it — has been paying dividends for society for generations.

AI models are trained to optimize outputs, but in educating children, the process is the point. If we assess children only in terms of what can be “trained,” we repeat the mistake of emphasizing output over experience.

There are conflicting studies on the impacts of AI on education so far, and the outcome of the newly announced AI academy led by OpenAI, Microsoft and Anthropic will depend on what and how it teaches.

The federal government gutting university research funding reverses tradition that has served the U.S. well since World War II, and it's especially senseless in the face of AI, cybersecurity, nuclear and other technologies.

The capacity of learning analytics platforms to collect troves of student data makes them both institutional necessities and liabilities. A handful of best practices can help colleges and universities keep them secure.

In glossy AI advertisements bought by the billions of dollars tech companies are making off schools, the classroom is portrayed as a student-centered, personalized learning space. But is that truly what AI is creating?

There are pros and cons to homework, and school districts will have to decide their own stances on it. But teaching and expecting ethical responsibility from students should be a requirement at all educational institutions.

Amid all the possibilities and ethical questions raised by the growing trove of artificial intelligence tools at the disposal of professors and students, the technology's true impact will depend on how they use it.

Waymo, a leader in self-driving car technology, is currently seeking permission to roll out its AI-driven taxi in New York City, with a safety driver behind the wheel at all times.

Senate Republicans added a provision that would ban states from enforcing any laws their state legislatures may have passed that regulate artificial intelligence to President Trump’s tax and budget bill.

To avoid creating vulnerabilities, school IT leaders often find themselves saying "no" to new tools and systems. Instead, they should foster a culture of innovation by convening partners to figure out how to make it work.

The Trump administration's efforts to slash funding from top research institutions across the U.S. is a gift to China and an injustice not only to top researchers and students, but to future generations of citizens.

To find their way in a changing job market in which employers are replacing interns with AI, college grads must adapt faster than the technology trying to displace them, while jumping into more advanced work.

Acceptable uses of AI should not promote anti-intellectualism, which Richard Hofstadter described as "resentment of the life of the mind ... and a disposition to constantly minimize the value of that life."

On the one hand, public figures are generating more personal records than ever. On the other hand, their transitory nature and lack of real intimacy are leading some to predict a coming “digital dark age.”

For educators, creating lifelong learners is part of the job. A glance back at novel ideas and once-new uses of technology, even minor ones, reveals how innovative thinking and problem solving can echo through time.