J. Nathan Matias 🦣Updated map of @AoIR annual conferences. https://www.google.com/maps/d/u/0/edit?mid=1Y34hy5QN_nFsPCB4QrUyzSXkInI&usp=sharing
#AoIR2024 #AoIR2025
#AoIR2024 #AoIR2025
Michael Zimmer
@michaelzimmer@aoir.social
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Privacy & data ethics scholar. Director of Center for Data, Ethics, and Society at Marquette University.
In response to news of this unethical study, @sarahgilbert, @michaelzimmer, and I have published a statement:
- calling on ethics review boards, journal editorial boards, & reviewers to be extra vigilant to uphold ethics when generative AI research is still relatively recent
- calling on regulators & the technology industry to support transparency for digital experiments conducted on the public
We're grateful to ChangeMyView for bringing it to everyone's attention.
A Case For Ethical and Transparent Research Experiments in the Public Interest - Coalition for Independent Technology Research
On April 26, moderators of r/ChangeMyView, a community on Reddit dedicated to understanding the perspectives of others, revealed that academic researchers from the University of Zürich conducted a large-scale, unauthorized AI experiment on their community. The researchers had used AI bots to secretly impersonate people for experiments in persuasion. Crucially, this experiment was carried out … Continue reading A Case For Ethical and Transparent Research Experiments in the Public Interest
AoIRThe #AoIR2025 theme will be RUPTURES - Rupture signifies a break or interruption in continuity, disruption, forms of resistance. #AoIR2024. https://aoir.org/aoir2025/aoir2025cfp/. #cometoBrazil
I am excited to share this pre-print of a white paper we've been working on for a while: "Web Scraping for Research: Legal, Ethical, Institutional, and Scientific Considerations"
With Megan Brown, Andrew Gruen, Gabe Maldoff, Solomon Messing, Zeve Sanderson. We're happy to receive any feedback on how we frame this critical issue and try to derive some paths forward for researchers.
https://arxiv.org/abs/2410.23432
With Megan Brown, Andrew Gruen, Gabe Maldoff, Solomon Messing, Zeve Sanderson. We're happy to receive any feedback on how we frame this critical issue and try to derive some paths forward for researchers.
https://arxiv.org/abs/2410.23432
Web Scraping for Research: Legal, Ethical, Institutional, and Scientific Considerations
Scientists across disciplines often use data from the internet to conduct research, generating valuable insights about human behavior. However, as generative AI relying on massive text corpora becomes increasingly valuable, platforms have greatly restricted access to data through official channels. As a result, researchers will likely engage in more web scraping to collect data, introducing new challenges and concerns for researchers. This paper proposes a comprehensive framework for web scraping in social science research for U.S.-based researchers, examining the legal, ethical, institutional, and scientific factors that researchers should consider when scraping the web. We present an overview of the current regulatory environment impacting when and how researchers can access, collect, store, and share data via scraping. We then provide researchers with recommendations to conduct scraping in a scientifically legitimate and ethical manner. We aim to equip researchers with the relevant information to mitigate risks and maximize the impact of their research amidst this evolving data access landscape.
Sorry to share that I won't be at #AoIR2024 in Sheffield next week. Just how things are rolling right now.
We are hiring two new tenure-track assistant professors in Computer Science at Marquette University, with focus areas on data science and also cybersecurity.
Join our growing department, where we have thriving undergraduate and graduate programs, healthy teaching & research balance, and a multitude of opportunities for external collaboration and partnerships. Ping me with any questions.
Data science focus: https://employment.marquette.edu/postings/22095
Cybersecurity focus: https://employment.marquette.edu/postings/22120
Irony (noun): a state of affairs that seems deliberately contrary to what one expects and is often amusing as a result. For example: "Michael was too overwhelmed with duties & deadlines to work on his sabbatical application"
Thrilled to share that the Marquette Center for Data, Ethics, and Society and the Northwestern Mutual Data Science Institute are hosting the 2024 AI Ethics Symposium on November 21 at Marquette University. We are lucky to have the esteemed Alondra Nelson and @cfiesler as keynote speakers. A full day is planned, but drop in as you can. Free and open to the public.
https://www.marquette.edu/ethics-of-big-data/
https://www.marquette.edu/ethics-of-big-data/
Our daily campus communication included this quick interview with me about the evolving capabilities of artificial intelligence and how it affects life in and out of the classroom.
https://today.marquette.edu/2024/09/on-topic-artificial-intelligence-and-what-it-means-for-the-classroom-and-beyond/
https://today.marquette.edu/2024/09/on-topic-artificial-intelligence-and-what-it-means-for-the-classroom-and-beyond/
