Matthew Lease – The Academic Fringe Festival
Title: Adventures in Crowdsourcing: Toward Safer Content Moderation and Better Supporting Complex Annotation Tasks Abstract: I'll begin the talk discussing content moderation. While most user content posted on social media is benign, other content, such as violent or adult imagery,…
Bias in Human-in-the-loop Artificial Intelligence – Gianluca Demartini
Title: Bias in Human-in-the-loop Artificial Intelligence Abstract: Paid micro-task crowdsourcing has gained popularity also thanks to the rise of AI because of the convenient way to generate large-scale manually annotated corpora and because of the possibility to create human-in-the-loop systems.…
Guidelines for Human-AI Interaction: Mihaela Vorvoreanu
Title: Guidelines for Human-AI Interaction Abstract: In this talk, Mihaela will present the work of synthesizing 20+ years on literature on human-AI and mixed initiative systems into 18 guidelines for human-AI interaction. She will introduce the guidelines to the audience…
Redefining Productivity to Adapt to a Changing Landscape of Work – Shamsi Iqbal
Title: Redefining Productivity to Adapt to a Changing Landscape of Work Abstract: As our work environments and work practices rapidly evolves as a result of the changing landscape of work, what we envision as the future of work is being…
Panos Ipeirotis
Speaker Biography: Panos Ipeirotis is a Professor and David Margolis Teaching Excellence Faculty Fellow at the Department of Technology, Operations, and Statistics at the Leonard N. Stern School of Business of New York University, and also an associated faculty member…
Michael Bernstein
Title: TBD Speaker Biography: Michael Bernstein is an Associate Professor of Computer Science and STMicroelectronics Faculty Scholar at Stanford University, where he is a member of the Human-Computer Interaction Group. His research focuses on the design of social computing and…
Nithya Sambasivan
Title: Everyone wants to do the model work, not the data work: Human-Data Interaction in AI Abstract: AI models are increasingly applied in high-stakes domains like health and conservation. Data quality carries an elevated significance in high-stakes AI due to…
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