Center for Responsible AI at NYU

Do you work at a small or medium-sized technology company? Would you like to learn about algorithmic transparency and about how you can become a transparency influencer in your organization? If so, please join us for a workshop on algorithmic transparency. When: Tuesday, December 12, 2023, noon-2pm (lunch served at 11:30am) Where: NYU Tandon Future Labs, 370 Jay Street, 7th Floor, Brooklyn, NY 11201, in-person only The workshop is free of charge, lunch will be provided to attendees. The workshop is offered by the Center for Responsible AI at NYU, in collaboration with the NYU Tandon Future Labs. You must RSVP to attend, at https://lnkd.in/e9YnQw8U to attend. Space is limited, and we will get back to you to confirm attendance. Registration closes at 3pm on Sunday, December 10, 2023. This workshop is based on the Algorithmic Transparency Playbook course, see https://lnkd.in/enSGTgtP for additional information. #AlgorithmicTransparency #ResponsibleAI #FutureOfWork NYU Tandon School of Engineering NYU Center for Data Science

?????????????? ???????? ?????????????? ???????? ?????????? ???????? ???????????? ?????? ???????????? ?????? At our Center, we certainly do, and we're still catching up with all the exciting things happening! ??? In the past few weeks, we’ve had the honor of hosting several inspiring speakers: ?? Valerie Chen from Carnegie Mellon University, gave a talk titled “Towards a science of human-AI teams” on?how AI models can support and complement human decision-makers, while addressing the practical challenges in deploying human-AI teams; ?? Mykola Pechenizkiy from Eindhoven University of Technology presented a talk where he shared his reflections on several key questions, such as "???? ???? ?????????? ???????????????????? ???????? ???????????? ???? ???????????????????? ??????? ?????? ?????????? ???????????????????? ???? ?????? ????????????????'?? ??????? ???????? ?????? ?????? ?????????????? ?????? ???????????" The quest should be not only to develop better benchmarking of/for fairML, but also to put more efforts into the development of methods and tools for auditing fairML solutions, enabling different stakeholders to better understand and reason about how a fairML model generates predictions and where the potential unwanted biases come from. ?? Steven Euijong Whang from Korea Advanced Institute of Science and Technology discussed the importance of improving aspects such as fairness, robustness, privacy, explainability, and value alignment, in addition to a model's accuracy. These objectives not only need to be satisfied during model training, but?in all the steps of machine learning, starting from the data. He covered three recent works from his lab towards this goal: (1) Falcon: fair active learning for data labeling (VLDB’24), (2) RC-Mixup: robust data augmentation for regression tasks (KDD’24), and (3) ERBench: an LLM hallucination benchmark using relational databases (NeurIPS’24 Spotlight). You can read more about the talks here: https://lnkd.in/dyKKqxS3 And don't forget to subscribe to our monthly newsletter! https://lnkd.in/dGjgxN9h

?????? ?????????? ????????-???? ?????? ???????????????????? ?????????????? ????, ?????? ???????? ?? ?????????? ?????????????? ???? ??????! ?? We are thrilled by the warm reception of our inaugural ?????????????????????? ???? meet-up, held at Ukrainian Catholic University on October 31 in collaboration with the Center for Responsible AI at NYU. During the event, former research fellow Denys Herasymuk from the #RAIforUkraine program delivered a talk titled “Responsible Approaches to Missing Value Imputation and Model Selection in Machine Learning”. In his presentation, he shared the results of his research, conducted in collaboration with his mentors, and offered insights from his personal experience in the program. After the talk, participants enjoyed lively discussions, along with ?? and ??. We’re already looking forward to the next meet-up on ???????????????? ???? at ??:???? ???? in Kyiv, which will feature Mariana Romanyshyn, Area Tech Lead at Grammarly! Find more details in the comments. #ResponsibleAI #RAI #Artificialintelligence #Ukraine #NYU

We are excited to share that 48 Computer Science teachers from high-schools located in the Ivano-Frankivsk, Poltava, and Lviv regions in Ukraine recently received the Ukrainian-translated version of our '???? ?????? ????: ???????????? ?????????????? ???? ????????????????????' comic book as a gift ?? We saw a lot of excitement and appreciation among the teachers ? Did you know that We Are AI is also offered as ???? ?????????????????????? ???????????????? ???? ???????????????? ????????????? ??If you are a small or medium-sized business, institute, or school interested in providing your team with a foundation in AI—including its social and ethical implications—and in empowering individuals to engage with how AI is used and governed in daily life, reach out to us! #artificialintelligence #technology #RAI #bias #regulation #algorithms #AIrisk

“Alice in Algorithmia'' (https://r-ai.co/alice) is now available on YouTube! Take a look and let us know what you think! Alice in Algorithmia is an animated short that follows a day in the life of a regular person who navigates the pros and cons of AI. As she goes through her day, Alice moves from being surrounded and directed by this technology to regaining agency and control. This video is part of our educational and public engagement mission. Alice was created by Julia Stoyanovich and award-winning animator Alex Budovsky. It premiered last month at Tandon’s newest studio space,?NYU Tandon @ the Yard. If you missed the event, you can now watch Alice on our YouTube channel! #ResponsibleAI #AIEducation #AILiteracy NYU Tandon School of Engineering NYU Center for Data Science

RAI for Ukraine is seeking mentors for the 2024-25 academic year! The ongoing war in Ukraine has severely disrupted the lives of hundreds of thousands of people, significantly impacting university students by displacing many and interrupting their education. To address this, the Center for Responsible AI at NYU launched RAI for Ukraine, a fully remote academic research program in partnership with Ukrainian Catholic University in Lviv, Ukraine. In the short term, the program aims to provide a sense of normalcy, and high-quality research opportunities, to students in Ukraine. Its long-term goal is to strengthen Ukraine’s research capacity in responsible AI.?50 Ukrainian students have participated in the program since its inception in 2022. Students worked with mentors from 10 academic institutions in the U.S., the U.K., France, The Netherlands, Portugal, and Hungary. We will enroll the next cohort in late September 2024. Students receive academic credit and competitive stipends. Fill out the mentorship interest form at https://lnkd.in/dfindTyx by August 31, 2024 to propose a research project. By mentoring RAI Research Fellows, you will play a crucial role in their academic and professional development. See RAI for Ukraine website at https://lnkd.in/dqGFKBPw for additional details. We are excited to hear from you! #ResponsibleAI #RAIforUkraine #ScienceForUkraine NYU Tandon School of Engineering Ukrainian Catholic University NYU Center for Data Science

We are looking forward to co-hosting Urs Gasser, who will discuss his new book "Guardrails: Guiding Human Decisions in the Age of AI", event with Stefaan Verhulst, PhD / The Governance Lab. Please RSVP at https://lnkd.in/dWVNs5qk if you'd like to attend and learn more about #AIEthics #responsibleAI #AIGovernance NYU Tandon School of Engineering NYU Center for Data Science NYU Center for Urban Science + Progress The Governance Lab