🆕in the AER AEA Journals: Emma Riley studies if #digital loans can shield #female entrepreneurs from #family pressures. Using a field experiment, she finds that digital loans (compared to cash) significantly increases business #capital and #profits .

pubs.aeaweb.org/doi/pdfplus/10…

How can we detect racial representation in US school books?

Incredibly impressive work on AI analysis of pictures by Anjali Adukia & Emileigh Harrison 🤯

Let’s #delve into the #transformative #GenAI to find #cruical applications. Oh.. it’s already here! POMS authors are using GenAI to write their abstracts… 🫣 #eDebate #POMS2024 .

I am optimistic that collaboration between humans and AI will disrupt how academics assess scholarly manuscripts and disseminate published works as well as closing of gaps among diverse scholars as well as competing scholarly traditions #POMS2024 #edebate .

Professor Anjana Susarla highlights three key downsides/risks of using GenAI for research: content authentication, homogenization of ideas, and hallucinations #POMS2024 #edebate

#GenerativeAI offers immense potential in
1.Research design
2. Data collection and analysis
3. Methodological critiques

However, these must be counterbalanced against the challenges posed by content authentication, homogenization of ideas and hallucinations #POMS2024 #edebate

Welcome #POMS2024 #edebate panelists: Sridhar Tayur Naveen Kumar, PhD Vince Slaugh Anjana Susarla Jay Swaminathan, Ph.D. Emre M Demirezen Torbjørn Netland Rema Padman

Panelists of #POMS2024 #eDebate : Prof. Sridhar Tayur Sridhar Tayur; Prof. Naveen Kumar Naveen Kumar, PhD; Prof. Rema Padman; Prof. Vince Slaugh Vince Slaugh, Prof. Anjana Susrala Anjana Susarla; Prof. Tor Netland Torbjørn Netland; Prof. Emre Demirezen Emre M Demirezen; Prof. Jay Swaminathan Jay Swaminathan, Ph.D.

ICMYI: Connecticut is closer to becoming the first state to make private companies consider the risks of the artificial intelligence products they sell to customers. Both tech lobbyists and civil society still have qualms about the bill.

w/ Zach Williams

news.bgov.com/states-of-play…

It is pretty amazing that the first 1,000 words recovered from the charred scrolls at Herculaneum taught us two new things: where Plato was buried and that he was sold as a slave by the Spartans.

Usually, most data you get is boring, a promising start! cnr.it/it/nota-stampa…

🚨New pub in Political Communication 📓🚨Beyond algorithmic amplification, I identified two influence pathways addressing how YouTube algorithms redirect users away from news in the latest study w/Tian Yang . More details🧵
tandfonline.com/doi/full/10.10…

The dataset is everything.

Great read: nonint.com/2023/06/10/the…

I mourn the loss of Bill, a valued member of our MSU community!

Bill was a rarity -a scholar who understood both AI and creative writing. This tweet composed a few days before his sudden passing shows his versatility and breadth of interests

#rip my friend

Human attention is key to understanding how we shape #AI amplifiers and how they shape us. This Thursday, join us at NICO for a special talk with Ziv Epstein (Zivvy Ξpstein): 'Re-Inventing the Attention Machine'.

🗓️ Thursday 4/25 at 1pm US Central
🔗 bit.ly/NICOSeminar

📣 CALL FOR PAPERS

An ICML Conference workshop on LLMs 🤖and Cognition 💭 (LLMCog)
📍 Vienna July 27

Submit your 4-page papers due May 22
Attend to hear from our invited speakers, the amazing Melanie Mitchell, Subbarao Kambhampati (కంభంపాటి సుబ్బారావు), Chelsea Finn, and Antoine Bosselut !

llm-cognition.github.io

This is the best tutorial I've seen for fully understanding and implementing Transformers models.

It includes a complete working implementation from scratch of all the key pieces, written in a way to make learning and understanding as easy as possible.

Study of 3,495 social categories (like 'nurse' or 'banker') finds gender bias is more prevalent in images than in text. The underrepresentation of women online is substantially worse in images than in text, public opinion, or US census data. Douglas Guilbeault
nature.com/articles/s4158…

Are you an untenured researcher (assistant professor, postdoc, etc.) studying the intersection of management and data, AI, computing, digital technologies, or communications?

Join us for the Junior Faculty Consortium at #AOM2024

Click below for details!

linkedin.com/posts/berente_…

At #CHI2024 , we try to do justice to #crowdsourcing by answering this question:

How does GPT-4's labeling ability compare to that of a realistic, well-executed MTurk *pipeline*?

Led by Steven He, we publish our love letter to crowdsourcing: arxiv.org/abs/2402.16795 #LLM 1/🧵

I have often shared with folks I know. 'Where am I?' his very accessible essay/story on consciousness.

lehigh.edu/~mhb0/Dennett-…