LatinX in AI Social at FAccT 2024
LatinX in AI (LXAI) is hosting a social to connect LatinX identifying AI Researchers and Engineers following the seventh annual ACM FAccT conference taking place in Rio de Janeiro, Brazil from June 3rd to June 6th, 2024 at the Othon Palace Hotel.
Mission
This LatinX in AI (LXAI) social is aimed at LatinX individuals working on or interested in AI with a goal to increase the visibility of researchers of LatinX origin. Those already working in AI will have the opportunity to connect with fellow LatinX and make their own work known, while those new to the field will benefit from the scientific exchange, guidance, and advice of researchers with the same background. Participants will be able to engage in discussions about AI (formal and informal) and to share their thoughts on how to increase the presence of LatinX in AI.
During this social, we’ll feature invited talks from prominent LatinX in AI community members and host roundtable discussions facilitating conversations among attendees.
SCHEDULE
Monday June 3rd, 2024
7:30 PM | Doors Open
7:45 PM | Opening Remarks
8:00 PM | Panel Discussion
9:00 PM | Networking
SPEAKERS
Nina da Hora
Nina da Hora's research aims at mitigating algorithmic racism through the intersection between ethics and artificial intelligence. She has been awarded the Ford Foundation Global Fellowship 2024, the Forbes Under 30 award, the Sabia Award from the University of Cambridge, and is listed among the 100 most influential people in Ethics in AI. In 2020, she founded the Instituto da Hora, dedicated to advancing digital rights in Brazil and promoting a more collective and critical approach to the field of artificial intelligence in society. Nina is a senior researcher in Data and AI at Thoughtworks Brazil. She actively collaborates on councils of civil society, industry, and government, leading and influencing responsible policies and innovations in AI.
Cristina Alves
Cristina Alves is a Law and GovTech researcher at the Rio de Janeiro Institute for Technology and Society (ITS Rio) interested in the areas of artificial intelligence, copyright and platform regulation. Specialist in Civil Law and Postgraduate in Digital Law from the State University of Rio de Janeiro (UERJ). She practices law in the East Coast region of Ceará, Brazil. Co-founder and former director of the Dun@ Institute - Technology and Governance. Professor of digital and copyright law.
Marcos Raimundo
Marcos M. Raimundo is a professor at the Institute of Computing at the University of Campinas (UNICAMP) and the coordinator of AI for Finance in the Hub of Artificial Intelligence and Cognitive Architectures (H.IAAC). With a strong academic background, he obtained his bachelor's, master's, and Ph.D. degrees in Computer Engineering from the State University of Campinas in 2011, 2014, and 2018, respectively. Following this, he completed his postdoctoral work at the School of Applied Mathematics at the Getúlio Vargas Foundation from 2019 to 2021. Prior to his current role, he served as an Adjunct Professor at the Polytechnic School of the Federal University of Rio de Janeiro from 2021 to 2022. His interests span various domains within machine learning, interpretable and fair artificial intelligence, multi-objective optimization, mathematical programming, and credit scoring.
Esther Luna Colombini
Esther Luna Colombini is a Professor at the University of Campinas, Brazil, where she coordinates the Laboratory of Robotics and Cognitive Systems (LaRoCS). She holds an M.Sc. and a Ph.D. in computing engineering from the Technological Institute of Aeronautics, Brazil. Her research interests include machine learning and AI for autonomous robotics and healthcare, focusing on Reinforcement Learning, Attentive Models, and Cognitive Modeling. She is a research member of the Advanced Institute for Artificial Intelligence (AI2), the Brazilian Institute of Neuroscience and Neurotechnology (BRAINN), and the Center for Artificial Intelligence (C4Ai). For the past 18 years, she has spearheaded scientific events and competitions in Brazil, serving as President of RoboCup Brazil, co-founder, and chair of the Brazilian Robotics Olympiad and the National Robotics Fair, two public initiatives supported by the National Council of Technological and Scientific Development. These initiatives attract over 230,000 students annually, aiming to inspire them to pursue STEM careers. Additionally, she coordinated the multilateral BRICSmart Alliance supported by CNPq and the BRICS-STI committee, focusing on employing ICT for Smart Resource Utilization to Combat Global Pandemic Outbreaks and conducting research on Learning in Cognitive Architectures within the Hub for Artificial Intelligence and Cognitive Architectures (H.IAAC).
Laura Montoya
Laura Montoya is the lead on tech social impact and ethical AI development, Laura is the founder and Managing Partner of Accel Impact Organizations, including Accel AI Institute, Latinx in AI (LXAI), and Research Colab. Her academic background is in Biology, Physical Science, and Human Development. She relocated to the San Francisco Bay area to work at the Mathematical Sciences Research Institute before jump-starting her career in software engineering at Intuit revamping their Quickbooks online platform. She is a director with Women Who Code, advisor for Udacity’s AI and Data nano degree, and an affiliate with the Berkman Klein Center for Internet and Society at Harvard Law.
Rosa Paccotacya Yanque
Rosa is a Computer Science professor at the National University of San Agustín of Arequipa and San Pablo Catholic University. She completed her master's degree in Computer Science at the University of Campinas, Brazil, where she conducted research in the Recod.ai laboratory, focusing on the trustworthiness and explainability of predictions for skin cancer. She was also part of the inaugural cohort of the Responsible AI and Human Rights course at the University of Montreal-MILA. Her research interests include AI for social good, responsible AI, fairness, accountability, explainable AI, and computer vision.
ORGANIZERS
Social Chairs:
Rosa Yuliana Gabriela Paccotacya Yanque, Professor, Universidad Nacional de San Agustín de Arequipa - Universidad Católica San Pablo
Willams de Lima Costa, Research Scientist, Voxar
Laura N Montoya —Accel AI Institute