Thursday, October 14, 2021

g-f(2)567 THE BIG PICTURE OF THE DIGITAL AGE (10/14/2021), Stanford HAI, Peter Norvig: Today’s Most Pressing Questions in AI Are Human-Centered


VIRAL KNOWLEDGE: The “genioux facts” knowledge news

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"g-f" fishing of golden knowledge (GK) of the fabulous treasure of the digital age, Artificial Intelligence, Human-Centered AI (10/14/2021)  g-f(2)426 


Opportunity 

Peter Norvig: Today’s Most Pressing Questions in AI Are Human-Centered, Stanford HAI


      • Artificial intelligence expert Peter Norvig is joining the Stanford Institute for Human-Centered AI this fall as a Distinguished Education Fellow, with the task of developing tools and materials to explain the key concepts of artificial intelligence.
      • Norvig helped launch and build AI at organizations considered innovators in the field: As Google’s director of research, he oversaw the tech giant’s search algorithms and built the teams that focused on machine translation, speech recognition, and computer vision. At NASA Ames, his team created autonomous software that was the first to command a spacecraft, and served as a precursor to the current Mars rovers.
      • Norvig is also a well-known name in AI education. He co-wrote Artificial Intelligence: A Modern Approach, an introductory textbook used by some 1,500 universities worldwide, and he’s taught hundreds of thousands of students through his courses on online education platform Udacity.
      • Peter Norvig: One way to think of AI is as a process of optimization — finding the course of action, in an uncertain world, that will result in the maximum expected utility. In the past, the interesting questions were around what algorithm is best for doing this optimization. Now that we have a great set of algorithms and tools, the more pressing questions are human-centered: Exactly what do you want to optimize? Whose interests are you serving? Are you being fair to everyone? Is anyone being left out? Is the data you collected inclusive, or is it biased?
      • Shana Lynch: Not everyone has access to classes at Stanford, UC Berkeley, or MIT. How do we broaden access to AI education?
      • Peter Norvig: I got involved in online education for just this reason: In 2010 Sebastian Thrun and I taught the intro AI class to Stanford students, and when in 2011 we were asked to teach it again, we thought that we should step up and try to reach a worldwide audience who couldn’t attend Stanford. In one sense this worked great, in that 100,000 students signed up and 16,000 completed the course. But in another sense the approach was still limited to a select group of highly self-motivated learners. The next challenge is to reach people who lack self-confidence, who don’t see themselves as capable of learning new things and being successful, who think of the tech world as being for others, not them. To do this takes more than just having great content in a course; we also need to foster a sense of community through peer-to-peer and mentor-to-learner relationships.


                          Genioux knowledge fact condensed as an image




                          References


                          Peter Norvig: Today’s Most Pressing Questions in AI Are Human-Centered, Shana Lynch, October 11, 2021, Stanford Institute for Human-Centered AI, Stanford HAI. 



                          Extra-condensed knowledge


                          Opportunity 

                          The Big Picture of Business Artificial Intelligence (3/3/2021) in a Single “g-f KBP” Chart, geniouxfacts



                          The “genioux facts” Knowledge Big Picture (g-f KBP) graphic


                          • Most of the AI deployed today, while novel and impressive, still falls under a category of “specialized AI.”
                          • Artificial general intelligence (AGI), the idea of a truly artificial human-like brain, remains a topic of deep research interest but a goal that experts agree is far in the future.
                          • The ability to adapt to entirely novel situations is still an enormous challenge for AI and robotics, a key reason for companies’ continued reliance on human workers for a variety of tasks.
                          • From a work perspective, these technologies tend to be task oriented, that is they execute limited sets of tasks, more than the full set of activities comprising an occupation.

                                    g-f(2)153 The Big Picture of Business Artificial Intelligence (3/3/2021) in a Single “g-f KBP” Chart. This "genioux fact" is a knowledge block made up of 10 blocks of “genioux fact". 
                                    1. g-f(2)82 THE BIG PICTURE OF THE DIGITAL AGE, MIT TASK FORCE ON THE WORK OF THE FUTURE, AI Today, and the General Intelligence of Work.
                                    2. g-f(2)65 THE BIG PICTURE OF THE DIGITAL AGE: IDC, Worldwide Spending on Artificial Intelligence Is Expected to Double in Four Years, Reaching $110 Billion in 2024
                                    3. g-f(1)10 Companies obtain significant financial benefits from AI when the strategic focus is organizational learning, not just machine learning
                                    4. g-f(1)21 Successful Digital Transformation Projects at Repsol: Continuous Learning with AI
                                    5. g-f(2)111 THE BIG PICTURE OF THE DIGITAL AGE, HBR, Why Is It So Hard to Become a Data-Driven Company?
                                    6. g-f(2)132 THE BIG PICTURE OF THE DIGITAL AGE, MIT SMR, Progress Toward the Intelligent Enterprise.
                                    7. g-f(2)93 THE BIG PICTURE OF THE DIGITAL AGE, Forbes, Understanding The Value Of Artificial Intelligence Solutions In Your Business.
                                    8. g-f(2)34 MIT SMR: Why Chief Data Officers (CDO) Must Assume Leadership for Data Success
                                    9. g-f(2)4 Companies need to identify the type of talent they need in order to become data-driven
                                    10. g-f(2)136 THE BIG PICTURE OF THE DIGITAL AGE, Forbes, 10 Ways AI And Machine Learning Are Improving Marketing In 2021.



                                      Condensed knowledge




                                      Opportunity 

                                      AI in Its Current State Is Already Wonderful, geniouxfacts



                                      Some relevant characteristics of this "genioux fact"

                                      • Category 2: The Big Picture of the Digital Age
                                      • [genioux fact deduced or extracted from Stanford HAI]
                                      • This is a “genioux fact fast solution.”
                                      • Tag Opportunities those travelling at high speed on GKPath
                                      • Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).
                                      • Type of validity of the "genioux fact". 

                                        • Inherited from sources + Supported by the knowledge of one or more experts.


                                      References


                                      “genioux facts”: The online programme on MASTERING “THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)567, Fernando Machuca, October 14, 2021, blog.geniouxfacts.com, geniouxfacts.com, Genioux.com Corporation.


                                      ABOUT THE AUTHORS


                                      PhD with awarded honors in computer science in France

                                      Fernando is the director of "genioux facts". He is the entrepreneur, researcher and professor who has a disruptive proposal in The Digital Age to improve the world and reduce poverty + ignorance + violence. A critical piece of the solution puzzle is "genioux facts". The Innovation Value of "genioux facts" is exceptional for individuals, companies and any kind of organization.




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