Khipu 2021 – June Event

Khipu 2021

event series in

Artificial Intelligence

Khipu 2021 Event Series are monthly online meetings to support the advancement of AI talent in Latinamerica. Each event will feature two sessions covering:

Conversations on AI – broad, wide ranging conversations with AI researchers, both from the region and the international community, exploring the most critical unsolved problems in AI today.

Applications of AI – deep dives into examples of AI applications in the real world, with emphasis on state of the art work done by Latin American researchers or applications that are particularly relevant to the region.

NEXT EVENT:

Wednesday, June 16th

15h00

— Mexico DF (UTC -5)

16h00

— Santiago (UTC -4)

17h00

— Brasilia (UTC -3)

Speakers

Emily

Denton

Emily Denton is a Research Scientist on Google’s Ethical AI team where they examine the societal impacts of AI technology. Their recent research centers on critically examining the norms, values, and work practices that structure the development and use of machine learning datasets. Prior to joining Google, Emily received their PhD in machine learning from the Courant Institute of Mathematical Sciences at New York University, where they focused on unsupervised learning and generative modeling of images and video.

Luciana

Benotti

Luciana Benotti investigates dialogue systems and their social impact, including misunderstandings, grounding, and educational applications. She received an IBM and two Google awards for outreach efforts developing AI-based technology for education. She is a researcher at the Universidad Nacional de Córdoba and at CONICET in Argentina. Recently, she was an invited scholar at Stanford University and the University of Trento. She is an elected member of the NAACL executive board, representing fellow Latin-Americans working on natural language processing.

Laura

Alonso

Laura Alonso Alemany is a linguist working on natural language processing applications. She works to facilitate understanding of language technologies in particular and data sciences in general. She is interested in machine learning as an instrument to explore language. She aims to apply the understanding of language into the shaping of solutions and applications. Lately, she is broadening this aim to also apply the understanding of society and ethical principles.

Shakir

Mohamed

Shakir Mohamed works on technical and sociotechnical questions in machine learning and artificial intelligence research, aspiring to make contributions to machine learning principles, applied problems in healthcare and environment, and ethics and diversity. Shakir is a research scientist and lead at in London, an Associate Fellow at the Leverhulme Centre for the Future of Intelligence, and a Honorary Professor of University College London. Shakir is also a founder and trustee of the Deep Learning Indaba, a grassroots organisation aiming to build pan-African capacity and leadership in AI. Shakir was the General Chair for the 2021 International conference on Learning Representations, and a member of the Royal Society Diversity Committee.

Past Events:

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