Future See with UN & AI

CHATS COULD TRANSFORM UN AROUND 7 Corporate University: 5 open to all ages. Since Congress was informed in 2018 1 million times more chat computing power has risen. 3 universities of core sdgs were first discussed 65th birthday party of Fazle Abed hosted by Steve Jobs in Silicon Valley 2001, namely

global uni of finance to end poverty

global open uni of education

global university of rural mothers building value chains of goals 2, 3, 5

youth also need connecting 2023-4 with global university of goals 678 and of 1000 mother tongues mediated round best knowledge that eg Guterres has

This leaves 2 universities of CLOP - climate  land ocean peace and

of Ai-Infrastructure. Please rsvp chris.macrae@yahoo.co.uk if concept not understood

CSPAN testimony  to congress2018 by co-founder OpenAI and Stanford Fei-Fei Li 

THANK YOU. I WILL NOW INTRODUCE TODAY'S  HAVE MR. GREG BROCKMAN, OUR SECOND WITNESS, WHO IS CO-FOUNDER AND CHIEF TECHNOLOGY OFFICER OF OPEN AI, A NONPROFIT ARTIFICIAL INTELLIGENCE RESEARCH COMPANY. MR. BROCKMAN IS AN INVESTOR IN OVER 30 START-UPS AND A BOARD MEMBER OF THE STELLAR DIGITAL CURRENCY SYSTEM. HE WAS PREVIOUSLY THE CTO OF STRIPE, A PAYMENTS START-UP NOW VALUED AT OVER 9 BILLION. AND HE STUDIED MATHEMATICS AT HARVARD AND COMPUTER SCIENCE AT M.I.T. AND OUR FINAL WITNESS IS DR. LI, CHAIRPERSON OF THE BOARD AND CO-FOUNDER OF AI FOR ALL. IN ADDITION, DR. LI IS A PROFESSOR IN THE COMPUTER SCIENCE DEPARTMENT AT STANFORD AND DIRECTOR OF THE STANFORD ARTIFICIAL INTELLIGENCE LAB. IN 2017, DR. LI JOINED GOOGLE CLOUD. BACHELOR OF ARTS DEGREE IN PHYSICS FROM PRINCETON AND PHD IN ELECTRICAL ENGINEERING FROM THE CALIFORNIA INSTITUTE OF TECHNOLOGY. I NOW RECOGNIZE DR. PERSONS FOR FIVE MINUTES TO PRESENT HIS TESTIMONY.

CHAIRWOMAN, RANKING MEMBERS, I'M GREG BROCKMAN, OPENAI SAN FRANCISCO BASED NONPROFIT WITH A MISSION TO ENSURE THAT ARTIFICIAL GENERAL INTELLIGENCE, WHICH WE DEFINE AS HIGHLY AUTONOMOUS SYSTEMS BENEFITS ALL OF HUMANITY. NOW I'M HERE TO TELL YOU ABOUT THE GENERALITY OF MODERN AI. WHY AGI MAY BE IN REACH SOONER THAN COMMONLY EXPECTED AND WHAT ACTION POLICYMAKERS CAN TAKE TODAY. YESTERDAY WE ANNOUNCED MAJOR PROGRESS TOWARD A MILESTONE THAT WE HAVE BEEN TRYING TO REACH, WHICH IS SOLVING COMPLEX STRATEGY GAMES WHICH START TO CAPTURE MANY ASPECTS OF THE REAL WORLD NOT SEEN IN BOARD GAMES. OPENING I-5, LONG-TERM PLANS AND NAVIGATE SCENARIOS FAR TOO COMPLEX TO BE PROGRAMMED IN BY A HUMAN TO SOLVE A MASSIVELY POPULAR GAME. IN THE PAST AI TECHNOLOGY WAS WRITTEN BY HUMANS IN ORDER TO SOLVE ONE SPECIFIC PROBLEM AT A TIME. IT WAS NOT CAPABLE OF ADAPTING TO SOLVING NEW PROBLEMS. TODAY'S AI IS BASED ON THE ARTIFICIAL NEURAL NETWORK. IT'S PROVING TO MATCH SURPRISING AMOUNT OF HUMAN CAPABILITY, SOMETHING THAT WAS SHOWN BY MY FELLOW WITNESSES, DR. LI'S WORK. ARTIFICIAL NEURAL NETWORKS, DEPENDS ON THE DATA THAT THEY'RE SHOWN. FURTHER ALONG THE SPECTRUM OF GENERALITY IS AGI. RATHER THAN BEING DEVELOPED FOR ANY ONE USE CASE, IT WOULD BE DEVELOPED FOR A WIDE RANGE OF IMPORTANT TASKS AND ALSO USEFUL FOR NONCOMMERCIAL APPLICATIONS, THINKING THROUGH COMPLEX DISPUTESDISPUTE S OR CITY PLANNING. HOW SHOULD WE THINK ABOUT THE TIMELINE? ALL THE AI SYSTEMS ARE BUILT ON THREE SYSTEMS. DATA, COMPUTATIONAL POWER AND ALGORITHMS. THEY'RE STARTING TO RELY LESS ON CONVENTIONAL DATA SETS WHERE A HUMAN HAS PROVIDED THE RIGHT ANSWER. FOR EXAMPLE, ONE OF OUR RECENT NEURAL NETWORKS LEARNED BY READING 7,000 BOOKS. WE RELEASED A STUDY SHOWING THE LARGEST TRAINING RUNS HAS BEEN DOUBLING EVERY 3 1/2 MONTHS SINCE 2012. WE EXPECT THIS TO CONTINUE FOR THE NEXT FIVE YEARS, USING ONLY TODAY'S PROVEN HARDWARE TECHNOLOGIES AND NOT ASSUME NEGATIVE BREAK THROUGH TECHNOLOGIES. TO PUT THAT IN PERSPECTIVE, YOUR PHONE BATTERY THAT LASTS FOR A DAY STARTED TO LAST FOR 800 YEARS AND FIVE YEARS LATER STARTED TO LAST FOR 100 MILLION YEARS. IT'S THIS TORRENT OF COMPUTE. WE'VE NEVER SEEN ANYTHING LIKE THIS. WILL THIS MASSIVE INCREASE IN COMPUTATIONAL POWER COMBINED WITH ALGORITMHMIC UNDERSTANDING WE CAN'T CONFIDENTLY RULE IT OUT GIVEN THE PROGRESS WE'RE SEEING. WHAT SHOULD WE BE THINKING ABOUT TODAY? WHAT CAN POLICYMAKERS BE DOING TODAY? FIRST THING TO RECOGNIZE IS THE CORE DANGER OF AGI, THAT IT HAS FUNDAMENTALLY THE POTENTIAL TO CAUSE RAPID CHANGE THROUGH MACHINES MISSPECIFIED THROUGH THEIR OPERATOR, MALICIOUS HUMANS OR AN ECONOMY THAT GROWS IN AN OUT-OF-CONTROL WAY FOR ITS OWN SAKE RATHER THAN TO IMPROVE HUMAN LIVES. WE SPENT TWO YEARS TO DEVELOP THIS. THIS CONTAINS THREE SECTIONS ON OUR IDEAS TO DEVELOP SAFE AGI DEVELOPMENT. AND RACE TO THE BOTTOM ON SAFETY IN ORDER TO REACH AGI FIRST. THE SECOND IS TO ENSURE PEOPLE AT LARGE RATHER THAN ANY ONE SMALL GROUP RECEIVE THE BENEFITS OF THIS TRANSFORMATIVE TECHNOLOGY AND THIRD IS WORKING TOGETHER AS A COMMUNITY IN ORDER TO SOLVE SAFETY AND POLICY CHALLENGES. OUR PRIMARY RECOMMENDATION TO POLICYMAKERS IS TO START MEASURING PROGRESS IN THIS FIELD. WE NEED TO UNDERSTAND HOW FAST THE FIELD IS MOVING, WHAT CAPABILITIES ARE LIKELY TO ARRIVE THEN IN ORDER TO PLAN FOR AGI'S CHALLENGES, FORECASTS RATHER THAN INTUITION. MEASUREMENTS PLACED FOR INTERNATIONAL COORDINATIONS ACTUALLY VIABLE. THIS IS IMPORTANT IF WE WANT TO SPREAD SAFETY AND ETHICAL STANDARDS GLOBALLY. THANK YOU FOR YOUR TIME AND I LOOK FORWARD TO YOUR QUESTIONS.

THANK YOU FOR THE INVITATION, CONGRESSWOMAN AND CONGRESSMAN. MY NAME IS FAY-FAY LI. I'M HERE AS CHAIRWOMAN OF A NATIONAL AI RESEARCH TO HIGH SCHOOL STUDENTS THAT HAVE BEEN TRADITIONALLY UNDERREPRESENTED IN THE FIELD -- IN THE STEM FIELDS, SUCH AS GIRLS, PEOPLE OF COLOR AND MEMBERS OF LOW-INCOME COMMUNITIES. OUR PROGRAM BEGAN AT STANFORD UNIVERSITY IN 2015. THIS YEAR, AI FOR ALL ARE EXPANDED ACROSS NORTH AMERICA TO SIX UNIVERSITY CAMPUSES. I OFTEN LIKE TO SHARE WITH MY STUDENTS THAT THERE'S NOTHING ARTIFICIAL ABOUT ARTIFICIAL INTELLIGENCE. IT'S INSPIRED BY PEOPLE. IT'S CREATED BY PEOPLE. AND, MOST IMPORTANTLY, IT HAS AN IMPACT ON PEOPLE. IT'S A POWERFUL TOOL WE'RE ONLY JUST BEGINNING TO UNDERSTAND. AND THAT'S A PROFOUND RESPONSIBILITY. I'M HERE TODAY BECAUSE THE TIME HAS COME TO HAVE AN INFORMED PUBLIC CONVERSATION ABOUT THAT RESPONSIBILITY. WITH PROPER GUIDANCE, AI WILL MAKE LIFE BETTER. BUT WITHOUT IT, IT STANDS TO WIDEN THE WEALTH DIVIDE EVEN FURTHER, MAKE TECHNOLOGY EVEN MORE EXCLUSIVE AND FORCED BUY AS WE HAVE SPENT GENERATIONS TRYING TO OVERCOME. THIS WILL BE AN ETHICAL, PHILOSOPHICAL AND HUMANISTIC CHALLENGE. AND IT WILL REQUIRE A DIVERSE COMMUNITY OF CONTRIBUTORS. IT'S AN APPROACH I CALL HUMAN CENTERED AI. AND IT'S MADE UP OF THREE PILLARS THAT I BELIEVE WILL HELP ENSURE AI PLAYS A POSITIVE ROLE IN THE WORLD. THE FIRST IS THAT THE NEXT GENERATION MAY REFLECT MORE OF THE QUALITIES THAT MAKE US HUMAN, SUCH AS DEEPER UNDERSTANDING OF THE CONTEXT WE RELY ON TO MAKE SENSE OF THE WORLD. PROGRESS ON THIS FRONT WILL MAKE AI MUCH BETTER IN UNDERSTANDING OUR NEEDS BUT WILL REQUIRE A DEEPER RELATIONSHIP BETWEEN AI AND FIELDS LIKE NEUROSCIENCE, COGNITIVE SCIENCE AND THE BEHAVIOR SCIENCES. THE SECOND IS THAT EMPHASIS ON ENHANCING AUGMENTING HUMAN SKILLS, NOT REPLACING THEM. MACHINES ARE UNLIKELY TO REPLACE NURSES AND DOCTORS, FOR EXAMPLE, BUT LEARNING AND ASSIST IN DIAGNOSIS WILL HELP THEIR JOB TREMENDOUSLY. SIMILAR OPPORTUNITIES TO AUGMENT HUMAN CAPABILITY AS BOUND FROM HEALTH CARE TO EDUCATION, FROM MANUFACTURING TO AGRICULTURE. FINALLY, AI MUST BE GUIDED BY A CONCERN FOR ITS IMPACT. WE MUST ADDRESS CHALLENGES OF MACHINE BUY AS, SECURITY AS WELL AS AT THE SOCIETY LEVEL NOW IS THE TIME TO PREPARE FOR THE EFFECT OF AI ON LAWS, ETHICS AND EVEN CULTURE. TO PUT THESE IDEAS IN PRACTICE, GOVERNMENTS, ACADEMIA AND INDUSTRY WILL HAVE TO WORK TOGETHER. THIS WILL REQUIRE BETTER UNDERSTANDING OF AI IN ALL THREE BRANCHES OF GOVERNMENT. AI IS SIMPLY TOO IMPORTANT TO BE OWNED BY PRIVATE INTERESTS ALONE AND PUBLICLY FUNDED RESEARCH AND EDUCATION CAN PROVIDE A MORE TRANSPARENT FOUNDATION FOR ITS DEVELOPMENT. NEXT, ACADEMIA HAS A UNIQUE OPPORTUNITY TO ELEVATE OUR UNDERSTANDING AND DEVELOPMENT OF THIS TECHNOLOGY. UNIVERSITIES ARE A PERFECT ENVIRONMENT FOR STUDYING ITS EFFECT ON OUR WORLD AS WELL AS SUPPORTING CROSS DISCIPLINARY, NEXT GENERATION AI RESEARCH. FINALLY, BUSINESSES MUST DEVELOP A BETTER BALANCE BETWEEN THEIR RESPONSIBILITY TO SHAREHOLDERS AND THEIR OBLIGATIONS TO THEIR USERS. COMMERCIAL AI PRODUCTS HAVE THE POTENTIAL TO CHANGE THE WORLD RAPIDLY AND THE TIME HAS COME TO COMPLIMENT THIS AMBITION WITH ETHICAL SOCIALLY CONSCIOUS POLICIES. HUMAN CENTER AI MEANS KEEPING HUMANS AT THE HEART OF THIS TECHNOLOGIES DEVELOPMENT. UNFORTUNATELY, LACK OF DIVERSE RECOMMENDATION REMAINS A CRISIS IN AI. WOMEN HOLD A FRACTION OF HIGH-TECH POSITIONS AND EVEN FEWER AT THE EXECUTIVE LEVEL. AND THIS IS EVEN WORSE FOR PEOPLE OF COLOR. WE HAVE GOOD REASONS TO WORRY ABOUT BIAS IN OUR ALGORITHMS. A LACK OF DIVERSITY WILL BE AMONG ITS PRIMARY CAUSES. ONE OF MY FAVORITE QUOTES COMES FROM TECHNOLOGY WHO SAYS THAT THERE IS NO INDEPENDENT MACHINE VALUES. MACHINE VALUES ARE HUMAN VALUES. HOWEVER, AUTONOMOUS IT BECOMES, ITS IMPACT ON THE WORLD WILL ALWAYS BE OUR RESPONSIBILITY. WITH A HUMAN CENTERED APPROACH WE CAN MAKE SURE IT'S AN IMPACT WE'LL BE PROUD OF. THANK YOU.

friends20 Q to younger and elder halves of world -subject Intelligence for good

what if following 20 people cooperated with each other and millennials what sgds would not be leading in good intel directions by 2030?

1 founder if solution asian bottom oy pyramid and creator of personal computing and mobile computing tools (abed and jobs)

5 male and female founders of vision/generative coding of computers (fei-fei li and hassaibis)

9 leader of united nations and female leader of refugee and womens ed networks out of number 1 womens university campus - ed city qatar -guterres and sheika moza

8 books; curricula   richest american female philanthriopists in 60s and 30s with special moment of luft focus pediatrics and mothers health (melinda gates and priscilla chan)

7 broolyns 2 billionanire inversorts of female engineers and neurscientists 

3  male and female co-founders of mooc.coursera, and fouder of yahoo reinvesting in stanfird worldwide alumni group ng .. yang

4 google leadership and stanfird alumn page-brin picai tandon and tsai

6 ai leaders at nvidia and paul allen institute

2 harvard trained bill gates and jimykim (largest philanthropy, ex world banker)

coming soon cndolleeza rice and Aja and please tell us who else rsvp chris.macrae#yahoo.co.uk AIgames AI20s AIverygood worldclassllm economistenglish.net +1 240 316 8157 chris.macrae@yahoo.co.uk chrismacrae.com nornanmacrae.net biographers von neumann and ...

mappjng puzzles og verygood intel HumansAI

Guterres-*JYKim*PauloFriere-FazleAbed*UNwomens2DigitalCoopRoadmAPP2017+G

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*Momentes Aja*PrisciilaChan*JenniferDoudna*SierraLeone