A free report for educational leaders and policymakers who want to understand the AI World
And the immediate need for AI literacy
Dr. Sabba Quidwai and I are excited to release version 1.0 of our report on the future of AI in education. In it, we emphasize the need to invest as much in human deep learning as society has in computer deep learning, as well as the importance of helping students learn to work with intelligent machines that are rapidly moving towards human-level intelligence in at least most domains in which humans are intelligent.
Beyond synthesizing many ideas from educational theory and AI deep learning, the report provides a comprehensive overview of developments in the field of AI, including current “exponential advances.” It's updated through the release of Gemini and Meta's new "Seamless" translation technology that arguably eliminates the need for most translators, and probably even the need to learn to speak another language for most purposes.
We were a mere 18 hours too late from covering an entire newscast (and news channel) that is produced with AI in a way that creates representations that are indistinguishable from what is “real” (see below) though it super-charges our comprehensive case and immediate AI literacy.
We also provide several suggestions and a potential roadmap for schools to help students prepare for an AI World where computers are substantialy smarter than them in many ways.
It’s long (200 pages of text and 90 pages of endnotes), but we have a 10-page Executive Summary highlighting the major issues and covering each chapter. Interested readers can read any particular chapter that interests them.
Chapter 1: Education's efforts to develop intelligence in humans
Chapter 2: The development of intelligence in machines: from computers that learn to artificial superior intelligence (2010-2045)
Chapter 3: AI and other challenges to the educational system and society
Chapter 4: Human deep learning as a response to our challenges
Chapter 5: Amplifying human intelligence with machine intelligence
Chapter 6: Overcoming education's challenges
Chapter 7: Practical implementation
Chapter 8: Broad frameworks for change and Design 39
Chapter 9: Leading change in industrialization 4.0/5.0
Chapter 10: A Renaissance Beyond Intelligence: Ethics, Babies, Friends, Lovers, Joy, and Future of the Humanit(ies)
Chapter 11: Conclusion
Endnotes (1,450 end notes in case you need any references)
Click this link to watch the broadcast. It’s pretty phenomenal, and to think that Google impressed themselves with that stupid blue duck….
