NSF : NairrPilot; AI-Institute Booklet 09/3 - web. Deep Learning Cases Year 16 Q1 - source Nvidia & top 100 partners in 21st C accelerated computing -Top3 Humans of DL: JH & DH & FL & Alg 3-2022:LBH
Deutsche Bank:::hewlett packard :: Softbank:: Samsung:: :siemens:: salesforce ::blackrock   ::snowflake::BMW BNP:: foxconn :: dell::ford ....Coming To King Charles Language Modeling 100 Most Joyful Collabs inspired by Taiwan-Americans & Grace Hopper fans:  J1  Barbados amazon   Anthropic :: databricks
Climate AI::Silico -CLARA=BIOtech:: Genentech::CADENCE:: Hassabis::: CZI-Priscilla Chan ::; BioNeMo :: eg at snowflake:: ..insurance
...

 www.ai20s.com HIR-KELM- Do you need to know about Xponential Kings English Language Modesl -in full throttle since OCT 2023 fusion of Pacific Coasts' Human Intelligence Reality & Atlantic's Kl? HIR has been very good at brainstorming the coming of 10**18 "moore" computational and data trnasmission tech. Moore's Law started this engineering gift to humanity 1965; my favorite year's giant leap by engineers is Valley brainstorming 2009: primarily 3 wizards' nets brainstormed application of next wave of accelerated computing (Team Huang) and chose Games transformation around Einstein 1905 logics (Team Hassabis eg open sourcing 250 milion protein databab alphafold3) and democatising (girl empowering) every human's coding of digital intel by training machines to adapt to human modes of communicating and sensing mother earth (Team Fei-Fei Li who this week launchedworldlabs.ai as her friends latest north star platform). Given accidental system failures in transtalantic's mediation of 2001, 2005, 2009, 2021 the world's 8 nillion vitizens owes great debt to Pacific (especially Valley) in keeping Human Intelligence Reality within reach of sustainable generation of millennials. It seems that from October 2023 to end of school year 24-25 every aspect of KELM will be tested eg US Nairr Pilot Executive Order & Chips Acts together with King Charles AI world series (London , Seoul, Paris ...), NY next week UNsummitfuture and NVidia world in DC October 7-9. We need hundreds of cities' peoples to celebrate intelligence inclusion. One way helping transatlantic Americans to transform attention is Bloomberg's commitment to smartest 100 mayors to get their peoples deepest intelihgence needs openly researched by Amerca's number 1 reearch univeristy Johns Hopkins. The US Department of Energy has located America's bigget computing powers across 13 national regions so that while DC' NiST orchestrates the US www.NAIRRpilot.org , 13 reigonal HIRs can blossom and factually NAIRRS are the consequence of NIST deciding to fund Fei-Fei Li nearly 20 years ago. More on how Queen Victioia way back 1843 asked Economits to tranform English Constitution imoact worldwide in 1843 at www.economistdiary.com .

 Our newsletter Ed3EnvoyUN wuth Unwomens @ linkedin and Facebook's fanclub of Yunus Bangla2.0 benchmark for all UN gov2.0 servanrs of SDGs, with million friends www.ed3dao.com (AI*metaverse*Digital Twins of Earth2.0) will try to celebrate & map every open diary date to futures for all but welcome probobo corespodents across 100 cities and all hemispheres and linguistic data sovereignties.

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SOS 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 . Economistdiary.com

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US NAIRR PILOT AI ::Exec Orders US,10/23:: MD 1/24

 

Chris (DC-CI Deep Computing-Intelligence Communally) Macrae MA DAMTP Cantab

DC-CI is all we need. AI20s.com world where one interview each week changes every intelligent possibility -eg 555 penn ave 9 August or axios sustainability AI 23 july or ZuHu 
Who's Human Intelligence Who? 400 : 300 : 200 : 100
YL 2025 celebrates report that stanford and deep mind's human ai valley = United Humans benchmark of worldwide edu livelihood syytems of sdg generation2021 (celebrate 20 years on from 2001 wake upcall to silicon valley when 2001 abed and steves jobs' dream of womens world coop uni zooms womens hi-trust hi-goodness intel everywhere so that all people become lifelong students and mentors2022 worlds deepest health servant leaders reunited real communities simultaneously so what's 2023=24 to linkin first
.welcome - pls click here if you want to start at top of blog of AI and UN goals superstars

Tuesday, January 30, 2024

 MEASURING DEVELOPMENT 2024- AI The Next Generation


May 2, 2024


Washington, DC | World Bank I Building, Room 2-220


1:50 PM

Research Session II | AI-Informed Safety and Algorithmic Bias

https://drive.google.com/file/d/1XtKxfij3fYA3wHV_Gt0fJSktPRqgmujM/view?pli=1

Chair: Charles Mberi (African Institute of Mathematical Sciences (AIMS))

Carina Ines Hausladen (ETH Zürich) | Using Controlled Image Synthesis to Measure Social Bias in Vision-language

Models

Sung Hyun (SK) Kwon (University of Maryland) | Please Take a Second Look: Improving Labeling Quality for Toxic

Content Using Nudges

Daniel Nkemelu (Georgia Institute of Technology) | Hate Speech Detection in Limited Data Contexts Using

Synthetic Data Generation

Philipp Zimmer, Samuel Fraiberger (World Bank) | Detecting and Reducing Harmful Online Content at Scale Using

Large Language Models


2:50 PM Lightning Talks | Transparency and Accountability in AI Design


Katie Wetstone (Driven Data) | Deon: An Ethics Checklist for Data Science


Taylor Lynn Curtis (MIT) | Document Before You Deploy: A Proposal for Accountability in Generative AI Decision-

Making


3:05 PM Coffee

3:20 PM

Research Session III | LLM-enabled Behavioral Insights

Chair: Vice minister Jessica Niño (Ministry of Development and Social Inclusion, Republic of Peru)

Hong-Yi TuYe (MIT Sloan) | Early Experimental Evidence on the Behavioral Dynamics of Prompt Engineering

Rem Koning (Harvard Business School) | The Uneven Impact of Generative AI on Entrepreneurial Performance

Paloma Bellatin, Mayra Cabrera (Behavioural Insights Team) | Gamified and Narrative Chatbot for Infant Nutrition

and Perinatal Depression

Brian Jabarian (University of Chicago) | Critical Thinking and Storytelling


4:20 PM Lightning Talks | Reasoning with LLMs


Edmond Dilworth (Stanford University) | ClimateX: Do LLMs Accurately Assess Human Expert Confidence in Climate

Statements?

Julian Ashwin (Maastricht University) | Using Large Language Models for Qualitative Analysis can Introduce Serious

Bias

Rweyemamu Barongo (Bank of Tanzania) | Strategy for Institutional AI Adoption

4:35 PM Tools Demo II | Structuring, Verifying, and Extending LLM-informed Research


Chris Robert (Higher Bar AI, PBC) | Maintaining Human Oversight and Agency in AI-assisted Development Research:

Instrument Evaluation as Case Study

Dimitri Stoelinga (Laterite) | LLM Knowledge Hubs: A Transformative Leap for Development Data

Virginia Ziulu (Independent Evaluation Group-IEG) | Leveraging Text Data and Generative AI in Complex Thematic

Evaluations

Michael Norton (World Bank) | Agrifood Data Lab: Using AI to Facilitate Access to Agricultural Data and Use Cases

Jude Mwenda (Fastagger Inc.) | Democratizing AI


5:25 PM Closing & Acknowledgements | Sean Luna McAdams (CEGA) & Maria Ruth Jones (World Bank)

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