AI Debate: The optimal pace for AI research

AI Debate: The optimal pace for AI research

Next February 21st at 14h30 (Wednesday) we will have our first AI debate in room 1-38 @ IST Taguspark.

For this first debate we propose the topic “The optimal pace for AI research”:

Peter Higgs argued to be “difficult to imagine how [he] would ever have enough peace and quiet in the present sort of climate to do what [he] did in 1964”, referring to the early work that was awarded the 2013 Nobel Prize in Physics. In academia, pressure to publish is indeed higher than ever. This is even more evident in Artificial Intelligence, with the main conferences breaking, year after year, records in the number of submissions. How is the field impacted by this pressure? What are the cons or pros of publishing instead of debating AI ideas? Is there any space for long-term works? Does pressure increase productivity or just promotes the publication of incremental results? In one question: what should be the optimal pace for doing research in AI?”

To help us thinking about the subject, we will have different viewpoints from a great panel of invited speakers:

Prof. Hélder Coelho (Faculdade de Ciências, BioISI, Mind-Brain College)

Profª Inês Lynce (INESC-ID and Instituto Superior Técnico)

Profª Ana Paiva (INESC-ID and Instituto Superior Técnico)

It will be really amazing if everyone can join the discussion! Pick a side and bring arguments.

The event is finished.

About INESC-ID

INESC-ID, “Instituto de Engenharia de Sistemas e Computadores: Investigação e Desenvolvimento em Lisboa” is a Research and Development and Innovation Organization (R&D+i) in the fields of Computer Science and Electrical and Computer Engineering. INESC-ID mission is to produce added value to people and society, supporting the response of public policies to scientific, health, environmental, cultural, social, economic and political challenges. INESC-ID promotes cooperation between academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, agri-food, industry 4.0, and smart grids. This high level of knowledge transfer is achieved through both competitive research projects and direct contracted research. Public and private entities have therefore access to a pool of knowledge, resources and services provided through the unique competencies available at the institution.

 

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