Franciscan expert on artificial intelligence addresses its ethical challenges; Catholic News Agency, January 17, 2025

Nicolás de Cárdenas, Catholic News Agency; Franciscan expert on artificial intelligence addresses its ethical challenges

"Franciscan friar Paolo Benanti, an expert in artificial intelligence (AI), warned of its ethical risks during a colloquium organized by the Paul VI Foundation in Madrid, pointing out that “the people who control this type of technology control reality.”

The Italian priest, president of the Italian government’s Commission for Artificial Intelligence, emphasized that “the reality we are facing is different from that of 10 or 15 years ago and it’s a reality defined by software.”

“This starting point has an impact on the way in which we exercise the three classic rights connected with the ownership of a thing: use, abuse, and usufruct,” he explained. (The Cambridge Dictionary defines usufruct as “the legal right to use someone else’s property temporarily and to keep any profit made from it.”)...

Regarding the future, Benanti predicted artificial intelligence will have a major impact on access to information, medicine, and the labor market. Regarding the latter, he noted: “If we do not regulate the impact that artificial intelligence can have on the labor market, we could destroy society as we now know it.

This story was first published by ACI Prensa, CNA’s Spanish-language news partner. It has been translated and adapted by CNA."

The Challenges and Benefits of Generative AI in Health Care; Harvard Business Review, January 17, 2024

Harvard Business Review, Azeem Azhar's Exponential View / Season 6, Episode 58; The Challenges and Benefits of Generative AI in Health Care

"Artificial Intelligence is on every business leader’s agenda. How do we make sense of the fast-moving new developments in AI over the past year? Azeem Azhar returns to bring clarity to leaders who face a complicated information landscape.

Generative AI has a lot to offer health care professionals and medical scientists. This week, Azeem speaks with renowned cardiologist, scientist, and author Eric Topol about the change he’s observed among his colleagues in the last two years, as generative AI developments have accelerated in medicine.

They discuss:

• The challenges and benefits of AI in health care.
• The pros and cons of different open-source and closed-source models for health care use.
• The medical technology that has been even more transformative than AI in the past year."

Artificial Intelligence and COVID-19: How Technology Can Understand, Track, and Improve Health Outcomes; Stanford University, April 2, 2020

Shana Lynch, Stanford University; Artificial Intelligence and COVID-19: How Technology Can Understand, Track, and Improve Health Outcomes

"On April 1, nearly 30 artificial intelligence (AI) researchers and experts met virtually to discuss ways AI can help understand COVID-19 and potentially mitigate the disease and developing public health crisis.

COVID-19 and AI: A Virtual Conference, hosted by the Stanford Institute for Human-Centered Artificial Intelligence, brought together Stanford faculty across medicine, computer science, and humanities; politicians, startup founders, and researchers from universities across the United States.

“In these trying times, I am especially inspired by the eagerness and diligence of scientists, clinicians, mathematicians, engineers, and social scientists around the world that are coming together to combat this pandemic,” Fei-Fei Li, Denning Family Co-Director of Stanford HAI, told the live audience.

Here are the top-line takeaways from the day. Visit HAI’s website for more in-depth coverage or watch the full conference video."

Patenting the Future of Medicine: The Intersection of Patent Law and Artificial Intelligence in Medicine; Lexology, February 14, 2018

Finnegan, Henderson, Farabow, Garrett & Dunner LLP - Susan Y. Tull, Lexology; Patenting the Future of Medicine: The Intersection of Patent Law and Artificial Intelligence in Medicine

"Artificial intelligence (AI) is rapidly transforming the world of medicine, and the intellectual property directed to these inventions must keep pace. AI computers are diagnosing medical conditions and disorders at a rate equal to or better than their human peers, all while developing their own software code and algorithms to do so. These recent advances raise issues of patentability, inventorship, and ownership as machine-based learning evolves."