Hybrid Intelligence: The New Paradigm
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The document discusses the concept of hybrid intelligence, a new paradigm in artificial intelligence that combines the strengths of both humans and machines. It highlights the limitations of current AI technologies, such as machine learning and natural language processing, while emphasizing the importance of human creativity and intuition. The author advocates for a collaborative approach where humans make judgments in uncertain situations to enhance the accuracy and trustworthiness of AI applications.
Hybrid Intelligence: The New Paradigm
- 1. Hybrid Intelligence The New Paradigm in Artificial Intelligence @clarecorthell Clare Corthell thinkingmachin.es/events
- 2. Luminant Data is a Machine Intelligence Consultancy building more intelligent businesses with data science strategy and artificial intelligence technology clare@luminantdata.com based in San Francisco Clare Corthell, Founder
- 3. datasciencemasters.org The Open Source Data Science Masters The most popular curriculum for learning data science
- 4. Artificial Intelligence, “AI” has massive potential to change how we live and work @clarecorthell
- 6. Two visions of the future @clarecorthell
- 7. The Vision of the Internet a huge catalog highly structured standardized firstly, @clarecorthell
- 8. the data format the dream @clarecorthell
- 9. The Vision of the Internet The Web was designed as an information space, with the goal that it should be useful not only for human-human communication, but also that machines would be able to participate and help. One of the major obstacles to this has been the fact that most information on the Web is designed for human consumption, and even if it was derived from a database with well defined meanings (in at least some terms) for its columns, that the structure of the data is not evident to a robot browsing the Web. Tim Berners-Lee, 2001 On the “Semantic Web” @clarecorthell
- 10. The Vision of the Internet a huge catalog highly structured standardized @clarecorthell
- 11. The Vision of the Internet a huge catalog highly structured standardized Reality a mess @clarecorthell
- 12. The Vision of a world with Machines secondly, 1.Machines take over all tasks 2.Humans no longer required 3.Humans Prosper. @clarecorthell
- 13. 1.Machines take over all tasks 2.Humans no longer required 3.Humans Prosper some stuff The Vision of a world with Machines Reality @clarecorthell
- 14. So in a world where the internet is a mess and machines can’t do everything for us What do we do? @clarecorthell
- 15. Artificial Intelligence is a collection of technologies that emulate intelligence two specific technologies Machine Learning uses statistics to make educated guesses Natural Language Processing helps computers understand human language @clarecorthell
- 16. Broadly stated, Machine Learning lets us take patterns from the past and project them going forward, sometimes allowing us to infer what might happen, including guess what a human might think or do @clarecorthell
- 17. The Computer’s Limits of Understanding those r cats! where is the cat plz computercomputer @clarecorthell
- 18. Machine Learning is about 75% accurate, or maybe 90% in certain circumstances. That’s not good enough for most products. @clarecorthell
- 19. Computers and Humans have very different talents Humans Creativity Intuition Choosing arbitrarily Learning new things Being empathic Computers Math Paring down options Repeating forever Being fast @clarecorthell
- 20. Neither the Computer nor the Human is objectively better — they just have different strengths @clarecorthell
- 21. Given this truth about humans and computers, @clarecorthell
- 22. In building businesses and technologies, we must anticipate a different future. @clarecorthell
- 24. The Hybrid Intelligence Paradigm (not neural nets or the superintelligence) @clarecorthell
- 25. Leverages what humans do best and what computers do best. Asks humans to make judgments when the computer is less confident — resulting in the most accurate, trustworthy system. The Hybrid Intelligence Paradigm @clarecorthell
- 26. Development:Training&Test machinelearningalgorithm new input prediction Active Learning Pattern Credit: Lukas Biewald, Crowdflower Hybrid Intelligence Design Pattern: Active Learning human prediction confident not confident output human labelled “feedback” data added back into training data Production: Prediction Production: Active Learning @clarecorthell
- 27. Where are we seeing Hybrid AI in applications? @clarecorthell
- 30. Development:Training&Test decisiontree algorithm new request suggested response Hybrid Intelligence Design Pattern: Hybrid Interaction human validation send response human labelled “feedback” data added back into training data send response don’t send response extractentities&captureintent structured data compose new response “I want to take the next flight to Cebu this afternoon.” “I have booked you for the 5pm flight. Have a nice trip!” execute task book flight existing context current time current location credit card @clarecorthell
- 31. wired.com
- 32. Hybrid Intelligent Agent Systems Hybrid Distributed Humans Automated urgencyofresponse slowfrom fully automated to fully humanfast “Hybrid Interaction” “Active Learning” Siri Duer Cortana Customer Service Centers @clarecorthell
- 33. 25%75% Human AI The Reality for Artificial Assistants humans deal with everything that isn’t an easy, known case @clarecorthell
- 34. 90%10% Human AI The Dream for Artificial Assistants humans deal with contextually tough or new cases @clarecorthell
- 35. Artificial Assistants don’t work very well yet. But there’s one important thing to pay attention to — and it has to do with design. @clarecorthell
- 36. Hi , How are you? @clarecorthell
- 37. Anthropomorph Design chat interaction establishes an interaction paradigm human language establishes empathy and trust @clarecorthell
- 38. The Hybrid AI Paradigm will change everything — it’s already happening. In the next customer service revolution that leverages Hybrid Interaction, BPOs must be ready for the boom. @clarecorthell Business Process Outsourcing
- 39. Humans will never be irrelevant. @clarecorthell The Most Important Point Here:
- 40. Humans are the only part of the equation endowed with empathy and the creativity to imagine the future. @clarecorthell