Year15 YUNUS FAN CLUB -45K ABEDmooc.com IN SEARCH OF INTELLIGENCE, LOVE & ALL THAT MATTERS MOST TO GENERATING FAMILIES JOYFUL COMMUNITY & MOTHER NATURE
lINKS 12 Thanks to Jen-Hsun best decade AI collection- 8000 cases improving peoples communal computation, data & brains - 2025rEPORT.COM year 75 of Neumann & Economist briefings- : 4 JULY 2024 last 80 days of UNsummitfuture.com ECONOMISTDIARY.COM chris.macrae@yahoo.co.uk
Thursday, September 19, 2024
75th year of hypothesis that species depends on Intelligence Transformation Education (ITE)
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HOW MANY OF INTELLIGENCE WORLDS TOP 50 MOST EXCITING INNOVATIONS CAN BE SQUEEZED INTO ONE VIDEO?Breaking News from AI20s.omc top 500 brains to learn round - Q&A video from Nandia's Jensen Huang in DC 27 Sept 2023 before nvidia dc before 8 and 9 october 2024. NB Huangh is most connecxted person in over 20 deep ai innovations - wow!
.Q what's diferent about Nvidia's accelerated comouting? Huang: our computers can analyse tens of thousands of threads at same time making them thosuands of time more efficient for Deep DATA/Learning cases than clasical computer that only does a few threads so Our Intelligence Partnerships can be more efficient at eg weather forecasting or Artificial Intel or both, and we can aim to share these transfromativve models/standards with thousands of times less energy than old computers
Q if you running the department of energy and had checkbook you know how do you see those Investments being deployed um uh the the thing I recommend most for for um every employee Nvidia everyleader that I meet is engage artificial intelligence try to have a tactical feel>ne of the things that that I would really love to see the United States do is for the governmen to become a practitioner of AI don't just be a governor of AI
Q what's impact of your AI of workforce and jobs? A:in the US but but in the world the first thing we need to do is demystify this technology for people and the reason for that is because it's useful to them it canEmpower them but not not if they don't understand it and as it turns out it's< actually relatively easy to understand very few people in the world know how to program but everyone knows that knows how to ask someone else to do something for them and it's as simple as that walking up the computer and tell it you know what you want and for the first time it might even give you a reasonable answer back
a question want to ask you about obviously you're wildly successful about. to be admitted to the nationaly and so on and and how do you think about your you know responsibilityprimary); margin-left: var(--ytd-transcript-segment-text-margin-left); overflow-wrap: break-word; width: 295.753px;" tabindex="-1">remit now how do you think about that well the most the the first thing that that um uh be a good father that that's number one be a good father and husband" probably the single best thing that that um any of our employees any any oneof us has ever done we we've built what what is what is recognized<>one of the most consequential technology companies in history yeah technology is used um in groundbreaking work in so many different fields of Science.
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technology is used in groundbreaking work in so many different fields of Science and
industries We've run the course of accelerated computing three decades from before the web encountered Amazon to >>
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most challenging and pressing issues of our time whether it's uh digital biology
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or Health Care
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imagine you what we're going to be like in 10 years frankly yeah and when we apply artificial intelligence to
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the field of biology and to for us to to move Beyond calling it life
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sciences to life engineering to be able to
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understand biology the way we understand many other fields of science would be incredible and I
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think that that's probably our our single greatest potential of helping
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INTELLIGENCE Vital events October include: Livable Plant Bangla at Stanford Doerr 1 Oct 1 Ajay BangaCondoleezza Riceis the Tad and Dianne Taube Director of the Hoover Institution Arun Majumdaris the inaugural Dean of the Stanford Doerr School of Sustainability. Peter Blair Henryis the Class of 1984 Senior Fellow at Stanford University’s Hoover Institution, senior fellow at Stanford’s Freeman Spogli Institute for International Studies, and dean emeritus of New York University’s Leonard N. Stern School of Business.
This is 28th year since my daughter was born in Washington DC Region & frankly first year that region gives an intelligence damn for future generation Thanks to BloombergHopkins, Axios, Nvidia, Fei-Fei Li via Hoover-Stanford branch in Dc, Earth funds of bezos, Banga world bank and Chicago market shapers.. help us catalogue how AI rockstar effect changing superpower to superempowerment
.ITIF: Last week my mind was blown at ITIF event sponsored by 3 sectorrs coming together @ web3: metaverse reality tpools, AI, Digita Twins engineering simulators. Translate to classrom and we finally see agent learning for eac student
120 years on from Einstein's 1905 tranfromational models of nature's mths nvidia has given us the accelerated computing needed fpr eg Hassabis the first games
Ciotech researtchetrs are one of the big winners, see breakthrough-eg alphafold3 (bilion year of human phd leap) 250 million protein databank
Commentors often underestimate that Jemsm Huang\s company Nvidia (arguably the greatest patnership collabs ever seen) gas been experi3enting with nexth computational design for 32 years now - htat's longer than even Stve Jobs got and has you select fascinating ideas frpm his keynotes , nb that he's engaging humans in up to a million times deeper data than jobs era could. Please clarify the mutual this challenge.we 8 billion earthlings face todaY (99% of us will never want to have to analysis such data; what we wants is transparent aps configuring that data and simplicity ofconversation with our own computational agent who values our productive lifetime not just selling us.
I hope this simple example shows why our species may stand or fall on gettoing personal inteelligece agency transparent
Would i be correct in saying that a chinese rice farmer now has overe a moillion different rice seeds to choose from with potentally 50 times more yield betwee chosinmg best and worst matched to local conditions? Gemini replies:That's a great question, and while I can't provide a definitive answer without more specific data, your estimate is likely in the right ballpark.
Here's why:
Rice genetic diversity: China has a long history of rice cultivation, and over time, countless varieties have been developed, each with unique characteristics. Modern breeding techniques, including genetic engineering, have accelerated this process, creating a vast pool of rice seeds.
May i suture is vaut le voyage if you have time to pick and choose what you like best as Jensen narrates the last 10 years of innovating the main stage for the deepest analyses humans have ever conducted - each year affoding potentially 4 times bigger datasets (until everything scribbled on the net could be gamed not that such unstructured data is best use of machine learning)
Bob Pette It will be facinating to see wjocj topics of computaional gobenance Pette brings to DC. These being the 5 main topics he has hosted at Nvidi'as annual summits in San Jose
, Vice President General Manager Pro Visualization, NVIDIA
, Director, Worldwide AI Initiatives, NVIDIA
, Founder and Chief Executive Officer, Amini
, Chief of Staff, The Prime Minister of Barbados
, Senior Vice President & Division President, Advanced Compute & Solutions, Personal Systems, HP
Africa is one of the regions most impacted by the adverse effects of climate change because of limited adaptive capacity due to lower levels of compute and data resources. Many small island nations and states lie at, or are just a few meters above, sea level — homes, infrastructure, and lives are all at risk. HP, Amini and NVIDIA are working…
, Vice President General Manager Pro Visualization, NVIDIA
, Director of Strategic OEM Accounts, NVIDIA
, Head of Commercial Virtual Reality, Lenovo
, Vice President and General Manager of HPC and AI, Lenovo
, General Manager, Workstation & Client AI Business Unit, Lenovo
Enterprises of all sizes across industries — from retail to manufacturing — can deploy game-changing AI solutions to gain faster insights and solve the most complex problems. But with limited in-house AI expertise and a technology landscape packed with thousands of hardware and software vendors and products, you may find it…
Join us for this fireside chat with Graphisoft’s CEO Huw Roberts and NVIDIA's VP/GM, Enterprise Visualization Bob Pette as they discuss how technologies are impacting the new world of hybrid work, digital twins, augmented reality, rendering, simulation (including machine learning/AI), and building information modeling.
, General Manager, Workstation & Client AI Business Unit, Lenovo
, Director, Strategic OEM Accounts, NVIDIA
With the new normal of work, employees need the tools to collaborate in real time, from anywhere, at any time. Lenovo is partnering with NVIDIA on real-time remote work capabilities enabled by Omniverse running on the latest NVIDIA GPU platforms. From simulations and digital twins to design and development workflows, employees can…
In this session ESRI’s Founder and CEO Jack Dangermond and NVIDIA’s SVP Bob Pette will discuss the ongoing innovation of accelerating GeoSpatial workflows with GPUs.
Among Axios briefings of who's AI who, the scope of Helena Wu's contributions stood out at this briefing. USA is most fortunate that to be served by her position at the DoE (overseeing AI staffing and projects at the nation's 17 susupercomputer) is critical regarding who does what AI in governnent. REf FASST.
a treat- taiwan & Jensen earth2.0 (digital twin) model aims to inform world with most timely & local weather alerts; tv weather channel bought up as data company by ibm and so study win-wins between taiwan 1, 2 jensen/nvidia platforms (eg cordiff), ibm and climate science? see also dc deep learning on climate at Bezos earth fund, world bank livable p;amet & 2 nobel professors linked by world bank and chicago, economists, DoE. DeepMind Graphcast very exciting too,
America's recent Executive Order Oct 2023 on Artificial Intelligence will establish new standards for AI safety and security. To meet these emerging standards, we’ll introduce our framework within our AI Factory to deliver trustworthy AI from data centers
March 2024: Boston Dynamics is excited about a new opportunity in the research world. Along with NVIDIA, Boston Dynamics has been working toward an exciting new robot capability that integrates hardware and software. Come learn how the NVIDIA AGX Orin took robotic ecosystem to a new level
Vice President, Generative AI Software NVIDIA -sample video gtc 2024 deeper understanding of the new NVIDIA offerings announced at GTC and how they are helping organizations supercharge the development and tuning of custom generative AI applications.. What Nim is:
This slide shows 50 partners using Nvidias creating AI futures the operating languages of Nvidia's million times more accelerated computing
Of course if there are so many different comercial p[roviders, the question of what does AI scope across eg US government can be expected to be a l;ot of work. See right hand panel for progress made 2020-2024
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Anthony Robbins
Vice President, Federal NVIDIA
This is an amazing video 2020 starting to revison AI nation with this all , NVIDIA
Generative AI Adoption and Operational Challenges in Government
March 2024
, Vice President of Mission Systems in Strategic Missions and Technology, Microsoft
, Vice President of Federal, NVIDIA
, Vice President Generative AI Software Product Management, NVIDIA
, Principal Deputy Assistant Secretary of the Army for Acquisition, Logistics and Technology, U.S. Army
In this panel, influential public sector leaders will discuss both the opportunity and challenges that generative AI presents to the federal government.
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Rev Lebaredian
Vice President, Omniverse and Simulation Technology NVIDIA
Rev directs Nvidia's Omniverse where Robots test out their skills and much more; factor 1 omniverse is also proving ground for any inteligence that may have an autonomous mobile future in humans real words; factor 2 there is a lot of intelligence needing translation both to go from 2 dimensions to 3 and vice vera; for example going into 3d world intelligence needs to know laws of physics such as gravity; equally humans are really only smart at 1 dimensional and 2 dimensional analysis ; machines probably can analyse deep data in any number of dimesioms but if you want a report what form will you wnat that in a game; a paper report. As it so fast moving its probably most imerestimng to see rev's 2024 videos first:
AI:Good news. Wsahington DC interaction with tech is leaping up from ignorance (lobbyist of big get bigger to deep youth innovation goods) Note the extraordimary crossroads of AI x-reality, digital twins - as human brains co-pilot 2020s era quintillion time "moore" (moores law 65-95*2G to 5G data transmission from 95 to milion times more GPU accelerated deep learning from 2009) to a leader on ITE millennials need to generate susdtainability goals .
Thanks:
Axios
Hopkins PennAve 555 at Bloomberg ,
Bezos earth Fund,
Stanford at Hoover
NIST & NAIRR (Fei-Fei Dc since 2018), .
.. Banga Livable Planet at world bank since 2023- we miss jum kims health and YoungPro at world bank 2012-7 - DC Visions turned fpward=looking forward from Octver 2023 AI exec order joini,g king charkes ai wor'd series in time for Paris 2025 twinnung with ce;ebroty transformation : Olympian France 24. Italy 26, LA & Pacific Oceran people 28+
With Economist journalists my family and friends started orbiting AI in 1951 NET dialogues of Norman Macrae
Today its convergenec of tech that wil either avdance 10 times more huaan joy of produtivity or cull/extinguish our species. Denial or rwquests to slow down are not practical responses- thats why we play this mastergame of wun-winAIi inspired by Neumann's contiued guidance
Neumann biographer with particular focus on peers Einstein Turing
to play the orvit game choose 3 intellgences whose transformative maps:
win-win-win with each other
trace who link them back to the NET or forward ro intelligebce millennilals most need to generate wherher thats Ajay Banga's (World Banking) 2 dimensions end poverty and livable planet or the UN's SDG1-16 (or some other factorisation of between 3 and 15 dimensions) or local data sovereignry -eg what intelligebce do all CARIBBEAN ISLANDS most need to unite worldwide for mutual goof
GAME 1 (nb we understand worldwide popuilarity of ai 24 may be playibg with the Chats but as yer these are just a big text application of 3 true north advances
Huang of Nvidia: li-huang-hassbis*Fei-Fei Li* Hasabbis of Deep Mind
blended with some continuous progress buggest tech companies had made with clouds and 4g up data tranussuin between every gps)
Jensen Huang who gave us million times more computing power for any deeppest data analysus On 2009 Huang ediated stanfird ai deep learning dialogues- top 2 impressions made by research focu of Li and Hassabis; thwy needed million times more gpy design accelerating computing in way that design since 1965 of CPU could not to see Huang-linked discoverie analyse nvufia on-demand cases in up ro 20 ways 1 in relation to hassabus eg life science leaps 2 in relatuib to fei0fei 3 in relation to buggest dinigital companies such as the West's Amazon googke Facebok Apple Microsft 4 with biggets traditional gov computing -eg us Energy, Meterology, NIK, , NSF (abd longer term with buggest reserach uni johns hokins) 5 specialist in managemennt data eg saleforcxe, snowdlake data warehouse , databricks, perhaps oraccle 6 wuth local cpomputing eg HO lenovo ipm pc...or monile or thoroigh IOT 7 operational data eg cities roads, emergency services ..
8 engineering foundries- one of bug uses of digotal twons which makes all digital twn and 2d-3d data translarion integral
9 pattern languages - nvidia developed its own op languafe and then eg with pixars open usd - major pater analysus rabges from medical image analysis to eg adobe tipe pubivations with eg charts that update data 10 there are 2 extraordinaey education contributuons; first most subjects leading edges are at least 25% intellignece new compared with 4 years ago making 4 year university certificates unsstsaiable second if education was seen as team work the way engibeerssee in any figital twin application - the clases would change vonfigured around every students persoal learning agency - see 6 hour debrief on this dc 2024 and catchup with first nvidia summit un dc
almost ever industry sector's leader to have a deep learning breahthrough 21 news arts/sprts/games pls rsvp chris.macrae@yahoo.co.ik whats biggest deep leaning computation compass we've missed
Fei-Fei Li about 10 years of prep first with National Science Foudation from 2009 aeound stanfird was needed ro assemble 20 million identity database for annual world comperition of machines identifying 20000 objects humans encounter on earth-2012 competituin winners rurbed ai into biggest tech investent ever Partnerships celberating Li's breakthrough: AI-4-all resources with melinda gates & jensen Huang AiforGood 2017 Un and melinda gates Testimony congress 2018 c-span calls for Nairrs - will usa be first oif 30 leading nairrs (see king harles ai world series) Lauches HumanAi back at stanfoird after sabatical at google cloud Condi Rice launches SETR policmakers top 10 engineering professors Fall 2024 Li launches worldlabs.ai
who trained mavhines to identify sense and communicate simply with humans before some machines (Robots, avarars ...) become autonomous spatial agents if real tie goverance- as imple case is huamn driven cars -this unsafe parctice kills 1.2 milion people annually though data modelling of causes od cancer is expected to make car deaths looks small
see latest dei-dei li - spatial ai - woldlabs - twitter list of who fei-fei is folowing
note to and fro crossoevers of 2d and spatial identity between robots and intelugence giverance orproduction- google's xtrinsics is interesting neighbir of worldlabs as its led br myamabmar-brit mrs tan white who is also wife of king charleks ai envoy; autonomous sdpatial datasets likely to get so large that they may become forst use of quantum computing - see annual diplomatc ted style pitches of quantum johns hopkins usually september
nb axi=iuis fascinating on how us departent of energy responsible for gov's 17 biggest superco0kputers diustributed across states incluidnng world;s 2 biggest computers- of coitse to mak best use of this all 3 advances tabled need integratuin
Demi Hasabis - his au models go directluy to einstein 1905 publication on deepest data of natire that newton science is conflicted with because nature operates at deeper scale of interactions than humans could previousy easure
Gemini writes
Web1, Web2, and Web3: A Comparative Overview
Optimists about the potential of Human AI often highlight the transformative power of Web3 as a fundamental shift in how we interact with technology.
1 Here's a breakdown of the key differences between Web1, Web2, and Web3:
Data Privacy: Web3's decentralized nature can provide enhanced data privacy, as users have more control over their personal information.
Trustless Interactions:Smart contracts can facilitate trustless interactions between humans and AI, reducing the need for intermediaries.
AI Governance: Decentralized AI governance models can potentially mitigate risks associated with centralized control of AI systems.
Economic Empowerment: Web3 can enable new economic opportunities for individuals and communities, including through the creation and ownership of digital assets.
While Web3 is still in its early stages, its potential to revolutionize various industries, including AI, is significant. Optimists believe that by empowering users and fostering a more equitable digital ecosystem, Web3 can contribute to a future where Human AI benefits society in a more inclusive and sustainable way.
The National Institute of Standards and Technology (NIST) will convene a hybrid workshop on September 24-25, 2024, in Washington, D.C., to discuss recent efforts by the NIST AI Innovation Lab (NAIIL) to help unleash artificial intelligence (AI) innovations in ways which enable trust. Participants will learn about recent and ongoing efforts, and contribute to NIST’s vision for the work ahead, including opportunities to expand its collaborations with the AI community. Responsible for a variety of NIST’s AI efforts and headquartered within the agency’s Information Technology Laboratory, NAIIL advances AI measurement methods and guidelines, including their incorporation into international standards.
The one and one-half day workshop will take place at The George Washington University in Washington, D.C. In-person and remote participation is available.
The workshop will feature panelists and other participants who will spotlight and discuss the most recent developments and next steps in key issues relating to AI innovation and trust. Sessions will build on NIST’s past, ongoing, and planned efforts.
Preliminary Agenda
Day 1: September 24, 2024
2:00 - 2:30 pm
Opening Remarks
2:30 - 3:30 pm
Advancing Generative AI Risk Management: Understanding Risks, AI Actors, and Mitigations Across the AI Value Chain
Connect with NVIDIA and our ecosystem of customers and partners doing innovative, meaningful work in the public sector and beyond. You’ll discover valuable insights from industry leaders on AI in over 50 sessions, live demos, and hands-on workshops covering generative AI, remote sensing, cybersecurity, robotics, industrial digitalization, and more.
The Transformative Power of Accelerated Computing and AI
Tuesday, October 8 | 10:00 a.m. EDT
Bob Pette, VP and General Manager of Enterprise Platforms, NVIDIA
Don't miss this special address from Bob Pette, where he’ll discuss how NVIDIA's accelerated computing platform is delivering breakthrough performance in the next wave of AI, sensor processing, digital twins, cybersecurity, autonomous systems, and more.
Learn About the Latest Breakthroughs From Industry Experts
Helena Fu
Director, Office of Critical and Emerging Technologies Department of Energy USA is so ;lucky that Helena is doing this critical j0ob regarding who does what ai in governnent. See her testimony made within 10 weeks of AI October Executive Order by White House
-likely to be a treat- taiwan & Jensen earth2.0 (digital twin) model aims to inform world with most timely & local weather alerts; tv weather channel bought up as data company by ibm and so study win-wins between taiwan 1, 2 jensen/nvidia platforms (eg cordiff), ibm and climate science? see also dc deep learning on climate at Bezos earth fund, world bank livable p;amet & 2 nobel professors linked by world bank and chicago, economists, DoE. DeepMind Graphcast very exciting too,
Sheri Bachstein
CEO The Weather Company
-likely to be a treat- taiwan & Jensen earth2.0 (digital twin) model aims to inform world with most timely & local weather alerts; tv weather channel bought up as data company by ibm and so study win-wins between taiwan 1, 2 jensen/nvidia platforms (eg cordiff), ibm and climate science? see also dc deep learning on climate at Bezos earth fund, world bank livable p;amet & 2 nobel professors linked by world bank and chicago, economists, DoE. DeepMind Graphcast very exciting too,
Greg Forrest
Director, AI Foundations Lockheed Martin see videos eg below
March 2024 at GTU summit: The recent Executive Order Oct 2023 on Artificial Intelligence will establish new standards for AI safety and security. To meet these emerging standards, we’ll introduce our framework within our AI Factory to deliver trustworthy AI from data centers to
March 2024: Boston Dynamics is excited about a new opportunity in the research world. Along with NVIDIA, Boston Dynamics has been working toward an exciting new robot capability that integrates hardware and software. Come learn how the NVIDIA AGX Orin took robotic ecosystem to a new level
Kari Briski
Vice President, Generative AI Software NVIDIA -sample video gtc 2024 deeper understanding of the new NVIDIA offerings announced at GTC and how they are helping organizations supercharge the development and tuning of custom generative AI applications.. What Nim is:
Anthony Robbins
Vice President, Federal NVIDIA
Rev Lebaredian
Vice President, Omniverse and Simulation Technology NVIDIA
David Reber
Chief Security Officer NVIDIA
Explore Key Topics
Remote Sensing
Find out why remote sensing is so important and how it's advancing capabilities in Earth observation, financial markets, disaster response, climate monitoring, and more.
Discover how telecom companies are using AI to transform customer experiences and network operations. This includes building sovereign AI factories, co-locating 5G and AI applications on RAN infrastructure, and advancing 6G R&D.
Immerse yourself in next-gen NVIDIA technology and tools with our full-day, hands-on technical workshops. Earn a certificate of competency upon completion.
Date and Time: Monday, October 7, 2024, 9:00 a.m.–5:00 p.m. EDT Venue: JW Marriott Washington DC, and the Ronald Reagan Building and International Trade Center Price: $495 per workshop seat. Group discounts are available.
8 Oct Marriott DC The Transformative Power of Accelerated Computing and AI [SDC1112]breakthrough performance in the next wave of AI, sensor processing, digital twins, cybersecurity, autonomous systems, and more.Enterprise Platforms, NVIDIA Bob Pette
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- previouslyBridging the Compute Divide to Mitigate Climate RiskMarch 2024 Pette withKate Kallot, Founder and Chief Executive Officer, Amini;Jonathan Reid, Chief of Staff, The Prime Minister of Barbados;Jim Nottingham, Senior Vice President & Division President, Advanced Compute & Solutions, Personal Systems, HP; Africa is one of the regions most impacted by the adverse effects of climate change because of limited adaptive capacity due to lower levels of compute and data resources. Many small island nations and states lie at, or are just a few meters above, sea level — homes, infrastructure, and lives are all at risk. HP, Amini and NVIDIA are working …
2022: andemployees need the tools to collaborate in real time, from anywhere, at any time. Lenovo is partnering with NVIDIA on real-time remote work capabilities enabled by Omniverse running on the latest NVIDIA GPU platforms. From simulations and digital twins to design and development workflows, employees can...
discuss how technologies are impacting the new world of hybrid work, digital twins, augmented reality, rendering, simulation (including machine learning/AI), and building information modeling.
AI for Science and Energy Security [SDC1080]Artificial intelligence (AI) is transforming scientific discovery, economic growth, and national security, and with increased investment and strategic planning, the U.S. government can lead the way in developing safe and trustworthy AI for critical areas, enhancing our ability to address pressing national and global challenges.
Tanya Das, Senior Associate Director, Bipartisan Policy Center
Karthik Duraisamy, Director of Michigan Institute for Computational Discovery and Engineering (MICDE), University of Michigan
Helena Fu, Director, Office of Critical and Emerging Technologies, Department of EnergyTwo DOE Supercomputers Top List of World’s Fastest. She previously served as Director for Technology and National Security at the White House National Security Council, where she was responsible for advancing strategic technology cooperation with allies and partners. She has previously served as Director of International Science and Technology Cooperation and Trusted Research for the Office of Science at the Department of Energy, and at the White House Office of Science and Technology Policy, where she was responsible for leading development of research security policy, culminating in National Security Presidential Memorandum on United States Government-Supported Research and Development National Security Policy (NSPM-33). From 2012-2018 Helena served at the U.S. Embassy in Beijing, first as a Deputy Director and later as Energy Attaché and Director of the Department of Energy China Office, where she was responsible for leading a team to advance U.S. security and economic interests in energy, science and technology, and nuclear security and nonproliferation. Before government service, Helena managed award-winning environmental planning projects across Asia at AECOM, and supported Federal and State environmental, energy, and transportation policy and programs at ICF International. Helena holds a Master’s degree in Environmental and Natural Resource Policy from the Harvard Kennedy School and a B.S. in Urban Studies and Planning from the Massachusetts Institute of Technology.
white house common sense ai bill of rights fall 2022 https://www.whitehouse.gov/ostp/news-updates/2022/10/04/fact-sheet-biden-harris-administration-announces-key-actions-to-advance-tech-accountability-and-protect-the-rights-of-the-american-public/
urgent challenges: five core protections
Safe and Effective Systems: You should be protected from unsafe or ineffective systems. Algorithmic Discrimination Protections: You should not face discrimination by algorithms and systems should be used and designed in an equitable way. Data Privacy: You should be protected from abusive data practices via built-in protections and you should have agency over how data about you is used. Notice and Explanation: You should know that an automated system is being used and understand how and why it contributes to outcomes that impact you. Alternative Options: You should be able to opt out, where appropriate,
Department of Labor has released “What the Blueprint for an AI Bill of Rights Means for Workers” Equal Employment Opportunity Commission (EEOC) and the Department of Justice released antidiscrimination technical assistance and guidance on the Americans with Disabilities Act (ADA) and employment algorithms in May 2022, and the Partnership on Employment & Accessible Technology, funded by the Department of Labor, has released the AI & Disability Inclusion Toolkit and the Equitable AI Playbook. To promote equal employment opportunity, the EEOC and the Department of Labor have launched a multi-year collaborative effort to reimagine hiring and recruitment practices, including in the use of automated systems. Protecting consumers:
To protect consumers in the financial system, the Consumer Financial Protection Bureau (CFPB)confirmed that federal anti-discrimination law requires that creditors provide consumers with specific and accurate explanations when credit applications are denied
Protecting students and supporting educators: To guide schools in the use of AI, the Department of Education will release recommendations on the use of AI for teaching and learning by early 2023.
To protect patients from discrimination in health care, the Department of Health and Human Services has issued a proposed rule that includes a provision that would prohibit discrimination by algorithms used in clinical decision-making by covered health programs and activities, and will release an evidence-based examination of health care algorithms and rac al and ethnic disparities for public comment by late 2022.
the Department of Veterans Affairs (VA) has instituted a Principle-Based Ethics Framework for Access to and Use of Veteran Data and launched the AI@VA Community and Network to pilot programs
Ensuring fair access to housing: To protect renters, the Department of Housing and Urban Development will release guidance addressing the use of tenant screening algorithms in ways that may violate the Fair Housing Act.
To sustain American global leadership, the United States Agency for International Development (USAID) launched an AI Action Plan that commits USAID to embedding risk mitigation in AI programming and shaping a global Responsible AI agenda; USAID is also supporting the development, governance, and use of responsible, rights-respecting technology worldwide through the Advancing Digital Democracy initiative. To guide federal procurement, the Administration will work across agencies to develop new policies and guidance for using and buying To advance transparency and trust in the federal government, the Office of Management and Budget, the White House Office of Science and Technology Policy, and the Federal Chief Information Officers Council have coordinated across the government to publish inventories of non-classified and non-sensitive government AI use cases. To lead by example in following AI ethics principles, the Department of Energy (DOE) will be releasing Principles and Guidelines for Advancing Responsible and Trustworthy AI in Fall 2022 and DOE’s AI Risk Management Playbook suggests mitigations to proactively manage AI risks such as algorithmic discrimination. The Department of Defense operates under its AI Ethical Principles, and the associated Responsible AI Strategy & Implementation Pathway that assists the U.S. defense enterprise in upholding these principles.
To empower technologists to promote trustworthy AI, the Department of Commerce’s National Institute of Standards and Technology (NIST) is developing a risk management framework to help technologists incorporate considerations of fairness, safety, and privacy into the design, development, use, and evaluation of AI products, services, and systems. An online Playbook companion to the AI risk management framework will also provide users with recommended actions to operationalize these considerations. To shape the long-term future of trustworthy AI, with over $700 million in investments annually, the National Science Foundation co
white house common sense ai bill of rights fall 2022 https://www.whitehouse.gov/ostp/news-updates/2022/10/04/fact-sheet-biden-harris-administration-announces-key-actions-to-advance-tech-accountability-and-protect-the-rights-of-the-american-public/
ReplyDeleteurgent challenges: five core protections
Safe and Effective Systems: You should be protected from unsafe or ineffective systems.
Algorithmic Discrimination Protections: You should not face discrimination by algorithms and systems should be used and designed in an equitable way.
Data Privacy: You should be protected from abusive data practices via built-in protections and you should have agency over how data about you is used.
Notice and Explanation: You should know that an automated system is being used and understand how and why it contributes to outcomes that impact you.
Alternative Options: You should be able to opt out, where appropriate,
Department of Labor has released “What the Blueprint for an AI Bill of Rights Means for Workers” Equal Employment Opportunity Commission (EEOC) and the Department of Justice released antidiscrimination technical assistance and guidance on the Americans with Disabilities Act (ADA) and employment algorithms in May 2022, and the Partnership on Employment & Accessible Technology, funded by the Department of Labor, has released the AI & Disability Inclusion Toolkit and the Equitable AI Playbook.
To promote equal employment opportunity, the EEOC and the Department of Labor have launched a multi-year collaborative effort to reimagine hiring and recruitment practices, including in the use of automated systems.
Protecting consumers:
To protect consumers in the financial system, the Consumer Financial Protection Bureau (CFPB)confirmed that federal anti-discrimination law requires that creditors provide consumers with specific and accurate explanations when credit applications are denied
Protecting students and supporting educators:
To guide schools in the use of AI, the Department of Education will release recommendations on the use of AI for teaching and learning by early 2023.
To protect patients from discrimination in health care, the Department of Health and Human Services has issued a proposed rule that includes a provision that would prohibit discrimination by algorithms used in clinical decision-making by covered health programs and activities, and will release an evidence-based examination of health care algorithms and rac
al and ethnic disparities for public comment by late 2022.
the Department of Veterans Affairs (VA) has instituted a Principle-Based Ethics Framework for Access to and Use of Veteran Data and launched the AI@VA Community and Network to pilot programs
Ensuring fair access to housing:
To protect renters, the Department of Housing and Urban Development will release guidance addressing the use of tenant screening algorithms in ways that may violate the Fair Housing Act.
To sustain American global leadership, the United States Agency for International Development (USAID) launched an AI Action Plan that commits USAID to embedding risk mitigation in AI programming and shaping a global Responsible AI agenda; USAID is also supporting the development, governance, and use of responsible, rights-respecting technology worldwide through the Advancing Digital Democracy initiative.
ReplyDeleteTo guide federal procurement, the Administration will work across agencies to develop new policies and guidance for using and buying
To advance transparency and trust in the federal government, the Office of Management and Budget, the White House Office of Science and Technology Policy, and the Federal Chief Information Officers Council have coordinated across the government to publish inventories of non-classified and non-sensitive government AI use cases.
To lead by example in following AI ethics principles, the Department of Energy (DOE) will be releasing Principles and Guidelines for Advancing Responsible and Trustworthy AI in Fall 2022 and DOE’s AI Risk Management Playbook suggests mitigations to proactively manage AI risks such as algorithmic discrimination.
The Department of Defense operates under its AI Ethical Principles, and the associated Responsible AI Strategy & Implementation Pathway that assists the U.S. defense enterprise in upholding these principles.
To empower technologists to promote trustworthy AI, the Department of Commerce’s National Institute of Standards and Technology (NIST) is developing a risk management framework to help technologists incorporate considerations of fairness, safety, and privacy into the design, development, use, and evaluation of AI products, services, and systems. An online Playbook companion to the AI risk management framework will also provide users with recommended actions to operationalize these considerations.
To shape the long-term future of trustworthy AI, with over $700 million in investments annually, the National Science Foundation co