About this Event
Join us for the upcoming event hosted by the AI Institute.
Tesh Goyal on Responsible AI
Tesh (Nitesh) Goyal leads research at the intersection of Generative AI and Responsible AI at Google Research. At present, Tesh also serves on the ACM SIGCHI Steering Committee, and as an Adjunct Professor at NYU Computer Science Department. His work at Google has led to the launch of ML based tools like MakerSuite/AI Studio to democratize access of Generative AI to developers safely, Harassment Manager to empower targets of online harassment, and ML based moderation to reduce online toxic content production on platforms like OpenWeb. He received his education at UC, Berkeley and RWTH Aachen (Masters), and Cornell University (PhD). His academic research to empower hispanic immigrant children with language learning, and breaking biases in sensemaking for intelligence analysts has been supported by the German Govt. Fellowship, National Science Foundation, and MacArthur Genius Grant. Prior to Google, Tesh has been part of multiple research labs including Yahoo Labs, HP Labs, and Bloomberg. Tesh has published in top-tier HCI conferences/journals (CHI, CSCW, JASIST, ICTD, ICIC and Ubicomp/IMWUT) and received three best paper honorable mention awards (CHI 2023, CHI 2022, CSCW 2016). Tesh has served on the Organization Committee for ACM SIGCHI conferences multiple times including Technical Program Chair at CHI 2023, GDI Chair at CHI 2021, Doctoral Consortium Chair at IMX 2021, and D&I Lunch Chair at CHI 2018-2020.
Title: Designing for Responsible AI by reducing online toxicity and harassment
Abstract: Online harassment is a major societal challenge that impacts multiple communities. Some members of the community, like female journalists and activists, bear significantly higher impacts since their profession requires easy accessibility, transparency about their identity, and involves highlighting stories of injustice. In this talk, I will present 3 case studies: 1. Specialized Rater Pools as an improvement to the human-in-the-loop mechanism to improve toxicity classification done by ML models. 2. Harassment Manager as a tool designed and created in collaboration with civil society and social media platforms to empower targets of online harassment. 3. Authorship Feedback as a mechanism to help perpetrators self-reflect.
IN-PERSON EVENT
Please note that this event is exclusively in-person and will not be available for live streaming. In the event that all tickets are sold out, you will be placed on a waiting list for any potential additional tickets released at a later time.
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VISITOR SAFETY INFORMATION
The health and safety of our patrons is our top priority. This event will abide by the Public Health Order prevailing at the time. Please follow our conditions of entry and check back here for updated information prior to the event.
Do not attend the event if you feel unwell, have recently experienced any cold or flu-like symptoms or are awaiting the results of a COVID-19 test.
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PUBLIC TRANSPORT & PARKING
The Innovation Hub is easily accessible via public transport and the closest light rail stops are UNSW Anzac parade (L1 line). For more information please call the Transport Infoline on 131 500 or visit transportnsw.info.
Paid casual and visitor parking is offered via the CellOPark App and ‘pay by plate meters’ in UNSW car parks. The nearest car park is the Barker Street Parking Station accessible via Gate 13. For more information head here.
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For all general enquiries, please email [email protected].
EVENT CONTACT
If you have any media or interview requests, please get in touch with:
Arjun Radhakrishnan
Project Officer
UNSW AI Institute
Event Venue & Nearby Stays
Innovation Central Sydney (ICS), K17 Lower ground, UNSW Sydney, Australia
AUD 0.00