"Predictable AI: Evaluation, Anticipation and Control" is a singular event that will consist of invited talks, panels, short highlights and time for networking. In the morning, we will put the emphasis on “Predictable AI Futures” around scaling laws, control, liability and future risks. In the afternoon, we will focus on “Predictable AI Systems”: covering cognitive and robust evaluation, assessors, co-operative conditions, uncertainty estimation, etc. 

Confirmed speakers (in-person):

• Irina Rish (Mila, Quebec AI Institute, Montreal)

• Lucy Cheke (U. Cambridge)

• Emilia Gómez (JRC, European Commission)

• Ida Momennejad (Microsoft Research, NYC)

• Joel Leibo (Deepmind, London)

• Seán O'hEigeartaigh (U. Cambridge)

Tentative Agenda:

•   9:00h - Welcome

•   9:15h - Talk 1.

• 10:15h - Coffee break

• 10:45h - Talks 2 and 3.

• 12:05h - Panel: “How predictable the future of AI can be?”

• 13:00h - Lunch break

• 14:30h - Talk 4. 

• 15:30h - Highlights (1 min. each) with Solutions and Ideas to the "Board Problems".

• 15:50h - Talks 5 and 6.

• 16:50h - Panel: "How predictable can AI systems be?"

• 17:45h - Closing remarks (and induction to the garden session following...)

• 18:00h - Orxata and drinks in the garden: chat in groups freely or around the 5-6 boards, each of them highlighting one “Board Problem” of Predictable AI...

Organisation:

• The event is co-organised and will count with a numerous representation of colleagues from the CFI and CSER in Cambridge, and ValGRAI in Valencia.

• Contact person:

  • Jose Hernandez-Orallo (jorallo@upv.es)

• "Local" (Valencia/Cambridge) organising committee: Ana Cidad, Cèsar Ferri, Nando Martínez-Plumed, Danaja Rutar, John Burden, Ryan Burnell, Konstantinos Voudouris, Wout Schellaert, Behzad Mehrbakhsh, Lexin Zhou and Yael Moros.

With the support of: