Detecting Machine-Generated Text: An Arms Race With the Advancements of Large Language Models

Today, many commercial detectors are claiming to be highly successful at detecting machine-generated text, with up to 99% accuracy, but are these claims too good to be true? Chris Callison-Burch and Liam Dugan aimed to find out in their recent paper.

Computer and Information Science

Ubiquity of Data

The Structure of Sound: Network Insights into Bach’s Music

A recent paper by Dani Bassett in Physical Review Research sheds new light on the unique qualities of Bach’s music and demonstrates the potential for analyzing music through the lens of networks.

Bioengineering
Electrical and Systems Engineering

Resilience in Networked Systems

Study Reveals Impact of Concern About Misinformation on Americans’ Media Consumption Habits

A new study from Dolores Albarracín evaluates whether perceiving misinformation as a threat influences how partisan Americans’ media consumption is.

Communication
Health Management
Nursing
Psychology

Consensus and Contagion in Society

Measuring Chaos: Using Machine Learning to Satisfy Our Need to Know

How do we measure chaos and why would we want to? Dani Bassett leverages the power of machine learning to better understand chaotic systems, opening doors for new information analyses in both theoretical modeling and real-world scenarios.

Bioengineering
Electrical and Systems Engineering

Evolution, Emergence and the Brain

Wharton Faculty Examine Our AI Present and Future

As the Wharton AI & Analytics Initiative lifts off, a new book by Ethan Mollick and a podcast series by Kevin Werbach examine how to live with the technology, apply it to business, and navigate its pitfalls.

Legal Studies & Business Ethics

Resilience in Networked Systems

Should We Trust AI? A Penn Expert Weighs In

As AI has become a part of our everyday lives, so has existential dread about its consequences. Philadelphia Magazine reached out to Penn professor Chris Callison-Burch to quell their fears.

Computer and Information Science

Social Norms for Algorithms

Why our brains are so good at seeing causality (and what AI requires to catch up)

Why is the human brain so good at interpreting causation? What can neuroscience teach us about causality that can help AI and vice versa? What’s at stake? To answer these pressing questions, CIFAR asked Konrad Kording for his thoughts.

Bioengineering
Neuroscience

Evolution, Emergence and the Brain

How Can We Meet the AI Moment?

Eric Bradlow discusses the launch of the new Wharton AI & Analytics Initiative and how generative AI can be leveraged in education, business, and society to enhance our lives on this episode of the Knowledge at Wharton Podcast.

Marketing

Social Norms for Algorithms

Mapping Media Bias: How AI Powers the Computational Social Science Lab’s Media Bias Detector

The Computational Social Science Lab (CSSLab), which Duncan Watts founded and leads, has launched their Media Bias Detector, providing media consumers an unprecedented level of detail in understanding how news outlets from across the ideological spectrum stack up against one another.

Communication
Computer and Information Science
Operations Information and Decisions

Consensus and Contagion in Society

Robin Pemantle Elected to the National Academy of Sciences

Congratulations to Robin Pemantle, who has been elected to the National Academy of Sciences (NAS). Considered one of the highest honors a scientist can receive, NAS membership recognizes distinguished and continuing achievements in original research.

Mathematics

Ubiquity of Data

News

Detecting Machine-Generated Text: An Arms Race With the Advancements of Large Language Models

The Structure of Sound: Network Insights into Bach’s Music

Study Reveals Impact of Concern About Misinformation on Americans’ Media Consumption Habits

Measuring Chaos: Using Machine Learning to Satisfy Our Need to Know

Wharton Faculty Examine Our AI Present and Future

Should We Trust AI? A Penn Expert Weighs In

Why our brains are so good at seeing causality (and what AI requires to catch up)

How Can We Meet the AI Moment?

Mapping Media Bias: How AI Powers the Computational Social Science Lab’s Media Bias Detector

Robin Pemantle Elected to the National Academy of Sciences