Connectionists: Global Summit on Open Problems for AI. Museum of Science, Boston, 4-6th December.

[Battleday, Ruairidh]

Global Summit on Open Problems for AI. Museum of Science, Boston, 4-6th
December.

What are the next set of challenges for AI algorithms? What are the open
problems in regulation & application?

We are most excited to announce the Algorithmic Innovation and
Entrepreneurship Global Summit on Open Problems for AI
<http://www.algopreneurship.ai>.

Join the USA’s leading AI researchers, policy makers, and entrepreneurs in
this global Summit over three days of keynote talks, panels, and breakout
sessions.

Day 1 - Algorithms

We ask what the fundamental challenges for developing AI algorithms are, as
well as promising avenues for overcoming them.

We’ll be hearing from Professor Aaron Courville (MILA), Professor Hidenori
Tanaka (NTT & Harvard), Dr James Whittington (Oxford & Stanford & Zyphra),
Dr Jonathan Richard Schwarz (Thomson Reuters), Dr Zi Wang (Google DeepMind)

Panel on “Is this the end of Scale?” (Stanford, MIT, Kempner Institute
Harvard, DeepMind, MosaicML, PillarVC)

Panel on “How Should We Fund AI Research?” (Harvard Kempner Institute,
Convergent Research, DeSciNYC, Advaita Capital, Flagship Pioneering)

Day 2 - Ethics

We ask what the fundamental ethical challenges and opportunities are for AI.

Professor David Duvenaud (Toronto & Anthropic), Professor Alex "Sandy"
Pentland (MIT), Dr William Casey King (Yale & Microsoft), Patricia Thaine
(Private AI), Jurgita Miseviciute (Proton), Dr Aleks Jakulin (data.flowers)
& Han Sheng Chia (Center for Global Development)

Panel: Micro Ethics - What Can Individual Researchers Do for Ethical AI?

Chair: Nicolay Hagen (NTNU)

Panel institutions: Toronto, MIT, Harvard, Private AI, Anthropic, Context
Fund

Panel: Meso Ethics - What Can Organizations Do for Ethical AI?

Chair: Professor Skyler Wang (McGill)

Panel institutions: Microsoft Research, Northeastern University, Proton,
Data.Flowers

Panel: Macro Ethics - If AI is the answer, what is the question?

Chair: Saima Fancy (Women in AI Ethics & Women in AI Governance)

Panel institutions: McKinsey, Operation Hope AI Ethics Council, Center for
Global Development, Academy

Day 3 - Applications

We ask what the fundamental challenges and opportunities are in
applications for social good.

Keynotes: AI for Science team (OpenAI), Dennis R. Mortensen
(LaunchBrightly), Samuel Colvin (Pydantic), Professor Andreea Bobu (MIT),
Professor Agata Lapedriza (Institute for Experiential AI), Dr Anna
Litvak-Hinenzon (AL-Tech AI)

Lightning talks: David Rose (LookOut), Albert Chen (Anago), Trevor Keith
(Codapt), Waleed Atallah (Maco), Kachina Studer (Harvard/MIT), Dr Mireia
Torello (AIKreate), Tanay Wakhare (Stealth)

Expert session: AI & Medicine

Professor Marzyeh Ghassemi (MIT), Professor Dan Nicolau Jr (Kings College
London), Dr Alex Oshmyansky (Cost Price Drugs), Dr Clara-Lea Bonzel
(Harvard), Anna Marie Wagner (DARPA & BOLD Corporation), Dr Salim Afshar
(Harvard & RevealHealthtech), Thiri Shwesin Aung (Global Impact
Assessment), Grigori Guitchounts (Flagship Pioneering)


This should be an exciting and productive event, and we expect an audience
of 400 of the USA’s best AI researchers and entrepreneurs, at student,
early-stage, and full career levels.


Student day tickets: $10

Early bird day: $20


Ruairidh <https://www.linkedin.com/in/ruairidh-battleday-648a2b65/>, James
<https://www.jcrwhittington.com/>, and Dan
<https://www.kcl.ac.uk/people/dan-nicolau>

Thinking About Thinking <https://www.thinkingaboutthinking.org/>


-- 
Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD

President
Thinking About Thinking, Inc <https://thinkingaboutthinking.org>

Postdoctoral Research Fellow
Center for Brain Science,
Harvard University

Center for Brains, Minds, and Machines,
MIT
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