The Academic Fringe Festival

First edition on

Crowd Computing & Human-Centered AI

The Academic Fringe Festival is an exciting concoction of invited talks and panel discussions around important themes of research and innovation in Computer Science. This first edition is on "Crowd Computing and Human-Centered AI". The series features prominent researchers and practitioners, whose work has made fundamental contributions in these fields.

Calling this collection of academic events "The Academic Fringe Festival" is an ode to the story of the eight theatre companies which turned up uninvited at the Edinburgh International Festival in 1947 and performed on the fringe of the event. Over the years, such acts gained popularity and gradually snowballed into what is now the world's largest arts festival, the "Edinburgh Fringe Festival". Our aim is not to create the world's largest academic festival, but to create a forum for open, accessible, and inspiring dissemination of knowledge from renowned scientists across the globe.

The Academic Fringe Festival is free of cost and open to everyone who is interested to participate. Let there be light!

The unprecedented rise in the adoption of artificial intelligence techniques in many contexts is concomitant with shortcomings of such technology with respect to robustness, interpretability, usability, and trustworthiness. Crowd computing offers a viable means to engage a large number of human participants in data related tasks and in user studies. In the context of overcoming the computational and interactional challenges facing the current generation of AI systems, recent work has shown how crowd computing can be leveraged to either debug noisy training data in machine learning systems, understand which machine learning models are more congruent to human understanding in particular tasks, or to advance our understanding of how AI systems can influence human behavior.

The Speakers

Matthew Lease

Adventures in Crowdsourcing: Toward Safer Content Moderation and Better Supporting Complex Annotation Tasks [more details]

University of Texas at Austin, Amazon Scholar

23 Nov 2020, 4PM CET

Gianluca Demartini

Bias in Human-in-the-loop Artificial Intelligence [more details]

University of Queensland

30 Nov 2020, 9AM CET

Mihaela Vorvoreanu

Guidelines for Human-AI Interaction [more details]

Microsoft

7 Dec 2020, 4PM CET

Shamsi Iqbal

Redefining Productivity to Adapt to a Changing Landscape of Work [more details]

Microsoft

14 Dec 2020, 4PM CET

Panos Ipeirotis

New York University

11 Jan 2021, 6PM CET

Michael Bernstein

Stanford University

18 Jan 2021, 4PM CET

Edith Law

University of Waterloo

22 Feb 2021, 4PM CET

More speakers coming soon...

If you are interested in participating as a 'Speaker' or a 'Panelist' in either this edition of TAFF or an upcoming edition in the future, please reach out to Dr. Ujwal Gadiraju.