The Internet has changed our world. Learn how network structure and competing incentives affect and enable people and algorithms.
We live in a networked world: social networks, economic networks, power networks, communication networks, information networks. Computers and people, linked in ways that we can now observe digitally, interacting, cooperating and competing. How can we understand and predict behaviors, and design systems to promote the greater good? We are still learning this, and the next great breakthroughs requir
04/02/2021
“While the science-fiction discussions about AI and super intelligence are fun, they are a distraction. There’s not been enough focus on the real problem, which is building planetary-scale machine learning–based systems that actually work, deliver value to humans, and do not amplify inequities.”
Stop Calling Everything AI, Machine-Learning Pioneer Says Michael I. Jordan explains why today’s artificial-intelligence systems aren’t actually intelligent
03/26/2021
ICYMI: learn more about the difference between , , and Science Fiction.
Deep Learning vs Machine Learning: What Your Firm Needs to Know Distinguishing between the various types of data analysis makes all the difference for companies trying to harness the reams of data they collect.
03/19/2021
"A approach can identify more asymptomatic, infected travelers than what conventional random testing would have achieved."
How Artificial Intelligence Can Slow the Spread of COVID-19 A machine-learning approach can identify more asymptomatic, infected travelers than what conventional random testing would have achieved.
03/15/2021
"AI is becoming more prevalent in health care. AI discrimination is a serious problem that can hurt many patients, and it’s the responsibility of those in the technology and health care fields to recognize and address it."
Why biased AI can be damaging to your health A bioethicist explains that algorithms can discriminate and reveals how to ensure automated health systems are fair.
03/05/2021
"The biggest challenge to overcome with AI is to humanize it and bring the notions of reflection, critical thinking, and feedback into decision-making."
AI and Implicit Bias Policy Lab – Asking Hard Questions: Can AI provide a ‘Second Look?’ Chandra Nukala ML’21 shares his experiences and observations as part of Policy Lab: AI and Implicit Bias, taught by Senior Adjunct Professor of Global Lead...
02/26/2021
"With human-centered AI, algorithms and humans can work together to compensate for blind spots and create clearer outcomes."
How can human-centered AI fight bias in machines and people? | MIT Sloan A new MIT Sloan Experts Series talk explains how algorithms and humans can work together to compensate for blind spots and create clearer outcomes.
02/19/2021
"Despite the tremendous innovation and entrepreneurial opportunities around AI, breaking into AI can be a daunting task for entrepreneurs as they face a chicken-and-egg problem before they even begin."
How to Kickstart an AI Venture Without Proprietary Data AI startups have a chicken & egg problem. Here’s how to solve it.
02/12/2021
On 2/15, join 's mini-symposium to celebrate the 75th anniversary of and the birth of general-purpose computing. See where it started, celebrate how far we’ve come, and see visions of the bright future that is still ahead.
https://events.seas.upenn.edu/event/eniacday/
02/05/2021
A team of researchers in Finland and Denmark has a different vision for how social media platforms could work. They developed a new algorithm that increases the diversity of exposure on social networks, while still ensuring that content is widely shared.
Smart Algorithm Bursts Social Networks' Instead of building echo chambers, Facebook, Twitter and company can tweak their code to broaden exposure to wider ranges of views
01/29/2021
Despite their tiny brains, honey bees are intelligent and capable of solving complex, novel problems. AI researchers at Penn, Carnegie Mellon, and Johns Hopkins aim to better understand this kind of biological intelligence in order to make artificially intelligent systems better able to learn and adapt.
Penn, Carnegie Mellon and Johns Hopkins to Develop New Turing Tests, Investigate How AI Can Become More Like Biological Intelligence | Penn Engineering Blog While artificial intelligence is becoming a bigger part of nearly every industry and increasingly present in everyday life, even the most impressive AI is no … Read More ›
01/22/2021
"In a time when human interaction is stinted and our natural curiosity is interrupted by ads and algorithms, curiosity examined through a network perspective helps us see how we can use curiosity to increase life satisfaction and communication with others." https://blog.seas.upenn.edu/studying-hunters-and-busybodies-penn-and-american-university-researchers-measure-different-types-of-curiosity/
01/15/2021
Artificial intelligence talent is global, and AI researchers and engineers come from, and are in high demand, all over the world. A new report from Perry World House and The Future of Humanity Institute investigates what drives AI researchers' immigration decisions. https://bit.ly/3nH4gDl
