Friday, April 04, 2025

Amplified Humanity: How AI Can Expand Our Capacity to Do Good and Be Good - Tawnya Means, University of Illinois Assistant Dean for Educational Innovation, via LinkedIn

In an era where headlines about artificial intelligence swing between utopian promises and dystopian warnings, we're missing perhaps the most profound opportunity of all: using AI to help us become better humans. This isn't about outsourcing our humanity. It's about leveraging technology to amplify our uniquely human capacities for care, support, learning, engagement, and love. As AI systems grow more capable, our ability to be deeply, authentically human becomes not just valuable; it becomes imperative.

https://www.linkedin.com/pulse/amplified-humanity-how-ai-can-expand-our-capacity-do-good-means-xb6cc/

SUPERAGENCY: What Could Possibly Go Right with Our AI Future" - Reid Hoffman and Greg Beato, Superagency

Superagency, by Reid Hoffman and Greg Beato, presents an optimistic view of AI's future, focusing on its potential to amplify human capabilities and improve society. Rather than dwelling on dystopian scenarios, the book explores how AI can enhance individual agency, enabling people to achieve more in areas like education, healthcare, and problem-solving. It advocates for an inclusive and adaptive approach to AI, emphasizing its role as a tool for positive change and encouraging readers to actively participate in shaping a future where human ingenuity and AI work in synergy. (summary by Gemini 2.0 Flash)

https://www.superagency.ai/

Thursday, April 03, 2025

New Auburn Engineering research center combines expertise in artificial intelligence, cybersecurity - Joe McAdory, Auburn University

The Auburn University Center for Artificial Intelligence and Cybersecurity Engineering (AU-CAICE), housed within the Department of Computer Science and Software Engineering (CSSE), is dedicated to uncovering pioneering advancements in AI-driven cybersecurity solutions and tackling the most pressing challenges in the digital age. “In today's rapidly evolving digital landscape, the need for groundbreaking research in artificial intelligence and cybersecurity has never been more critical,” said Allan David, associate dean for research. “The Samuel Ginn College of Engineering is thrilled to continue its role as a leader in emerging technologies, driving innovation and fostering collaboration to address the complex challenges of our time. This new research center embodies our commitment to shaping a safer, more secure future through cutting-edge advancement.”

Innovation and Collaboration in Higher Education During Challenging Times - Ray Schroeder, Inside Higher Ed

The field of higher education is notoriously slow to change. Yet, when faced with the extraordinary challenges of today, our associations are quick to foster support, collaboration and unity. Ijust returned from the UPCEA annual conference held in Denver. A record attendance of some 1,300 administrators, faculty and staff from member institutions gathered to share policies, practices, innovations and knowledge in advancing the mission of higher education in 2025. It was a thriving and exciting environment of energy and enthusiasm in seeking solutions to challenges that confront us today and into the future. A number of the sessions addressed innovations with cost savings, efficiencies and effectiveness gains that can be realized by thoughtfully introducing artificial intelligence into supporting many aspects of the higher education mission. 

Wednesday, April 02, 2025

AI's Moore's Law: Measuring AI Ability to Complete Long Tasks

We propose measuring AI performance in terms of the length of tasks AI agents can complete. We show that this metric has been consistently exponentially increasing over the past 6 years, with a doubling time of around 7 months. Extrapolating this trend predicts that, in under five years, we will see AI agents that can independently complete a large fraction of software tasks that currently take humans days or weeks.


Artificial Intelligence in Medical Education: Transforming Learning and Practice - Aadhitya Sriram, et al; Cureus

Artificial intelligence (AI) is reshaping medical education by enhancing learning strategies, improving training efficiency, and offering personalized educational experiences. Traditional teaching methods, such as classroom lectures and clinical apprenticeships, face numerous challenges, including information overload, teaching quality variability, and standardisation difficulties. AI presents innovative, data-driven, and adaptive solutions to overcome these limitations, making medical training more effective and engaging. This study explores how AI can be applied in the field of medical education, also focusing on personalized learning, virtual simulations, assessment methods, and curriculum development. 


Tuesday, April 01, 2025

AI Ethics in Higher Education: How Schools Are Proceeding - Adam Stone, EdTech

Higher education is uniquely positioned to deal with AI’s ethical considerations, partly because AI adoption is already prevalent in academia. At Miami University in Ohio, “there are courses about AI, and there are courses that use AI,” says Vice President for IT Services and CIO David Seidl. As AI use widens, colleges and universities need to give students “an ethical foundation, a conceptual foundation to prepare them for the future,” he says. Many schools have the institutional expertise on campus needed to lay that foundation. “We have people who are very thoughtful, who bring subject matter expertise from a lot of lenses, so that you can have well-informed conversations about the ethics of AI,” says Tom Andriola, University of California, Irvine’s vice chancellor for IT and data.


Making AI work for workers - McKinsey Quarterly

Employees are ready for AI. How can their leaders help them unleash new levels of creativity and productivity? Workers are already on board with gen AI, but many leaders aren’t keeping pace. Business leaders who can build on this momentum face a significant opportunity. But not all employees are embracing gen AI equally. Identifying four archetypes of employee sentiment can help companies understand where encouragement might be needed.