Ethical algorithm design should guide technology regulation Michael Kearns and Aaron Roth explore ways to mitigate possible biases and create a pathway toward greater fairness in AI and emerging technologies in their Brookings Policy Brief. Computer and Information Science caret-arrow Social Norms for Algorithms
Socially Aware Algorithms Are Ready to Help Better coding, not just laws and regulations, is the solution for tech’s failure to address the needs of actual humans, writes Aaron Roth and Michael Kearns in their Scientific American op-ed. Computer and Information Science caret-arrow Social Norms for Algorithms
Advancing algorithmic care Experts from Penn, including bioinformaticist Jason Moore, shared their perspectives on the role of advanced algorithms and AI in health care and what the future holds for digital health technologies at the Pennovation Center's event on “Advancing Algorithmic Care.” Biomedical Informatics caret-arrow Social Norms for Algorithms
The Missing Link: Can the Additive Tree Expand Machine Learning in Medicine? A multidisciplinary team including Lyle Ungar, Professor in Computer and Information Science, discovered a once-hidden through-line between two popular predictive models used in artificial intelligence. By connecting these two models, researchers can open the door to confidently spreading machine learning throughout healthcare. Computer and Information Science caret-arrow Social Norms for Algorithms
The programming ethos In a podcast conversation, Penn professors Michael Kearns, Aaron Roth, and Lisa Miracchi discuss fairness constraints put on algorithms, the perception of artificial intelligence as “value-neutral,” and the convergence of disciplines in trying to address outstanding questions about how to make algorithms more ethical. Computer and Information Science caret-arrow Social Norms for Algorithms
The virtual assistant Artificial intelligence has permeated many corners of life, from consumer purchasing and media consumption to health care—sometimes in ways we don’t even know. Across campus, researchers like computer scientist Lyle Ungar are working to better understand how artificial intelligence affects everyday life now and in the future. Bioengineering Computer and Information Science caret-arrow Social Norms for Algorithms
The human driver As the ability to harness the power of artificial intelligence grows, so does the need to consider the difficult decisions and trade-offs humans make about privacy, bias, ethics, and safety. Michael Kearns, Aaron Roth, Rakesh Vohra, and Christopher Yoo discuss building algorithms that reflect society’s values. Communication Computer and Information Science Electrical and Systems Engineering Law caret-arrow Social Norms for Algorithms
The brain in the machine Michael Kearns and Shivani Agarwal provide insights into how computers learn, the current challenges of artificial intelligence research, and what the future holds for how machines might shape society in the future. Computer and Information Science caret-arrow Social Norms for Algorithms
Bots, biases, and binge watching: How AI shapes the modern world Penn Today produced a three-part series and podcast on artificial intelligence, with expertise from Warren Center affiliates in the School of Arts and Sciences, the Perelman School of Medicine, the Wharton School, Penn Law, and the School of Engineering and Applied Science. Communication Computer and Information Science Electrical and Systems Engineering Law caret-arrow Social Norms for Algorithms
Is Data Privacy Real? Don’t Bet on It People generate millions of points of information about themselves all the time. You create data every time you push the ‘Like’ button on Facebook, search for something on Google, make a purchase on Amazon, or watch a show on Netflix. Kevin Werbach, Aaron Roth, & Michael Kearns discuss data privacy in the U.S.--- or the lack thereof. Computer and Information Science Legal Studies & Business Ethics caret-arrow Social Norms for Algorithms
