Being Smart About AI CMU Andrew W. Moore Berkeley Michael Jordan - - PowerPoint PPT Presentation

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Being Smart About AI CMU Andrew W. Moore Berkeley Michael Jordan - - PowerPoint PPT Presentation

Aug 18, 2022 317 likes •609 views

Being Smart About AI CMU Andrew W. Moore Berkeley Michael Jordan MIT Daniella Rus Georgia Tech Charles Isbell OSTP & NSF Jim Kurose This is where the AI business is at right now but we should also consider how we understand

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Being Smart About AI

Andrew W. Moore

CMU

Michael Jordan

Berkeley

Daniella Rus

MIT

Charles Isbell

Georgia Tech

Jim Kurose

OSTP & NSF

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This is where the AI business is at right now… …but we should also consider how we understand and empower humans… …and what it’s like to live and work in an AI-driven world… ……because it can go so wrong if done wrong but so right if done right… …and so at NSF we are investing strategically in AI.

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1965

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1965

Perceive

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1965

Perceive

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1965

Perceive Act

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1997 Kasparov Defeat

Perceive Act

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How Decide Works

  • If I do this then this will

happen

  • But if I do that then this other

thing will happen

  • Or if I do this third option…
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1997: Predicting effects

Software Engineers write a set of Rules that predict the effects

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2003: Predicting effects

Learn to predict by extrapolating from previous data

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Learning

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Autonomy Human-AI interaction Search, Plan and Prove Machine Learning, Deep Networks Sensors, Hardware and Cloud

The AI Technology Stack

Perceive Learn Act Decide

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Autonomy Human-AI interaction Search, Plan and Prove Decision support Prediction Statistical Modeling Massive scale data management Sensors, Hardware and Cloud

The AI Stack

Perceive Learn Act Decide

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Machine Learning AI Statistics

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Autonomy Human-AI interaction Search, Plan and Prove Decision support Inference Statistical Modeling Massive scale data management Sensors, Hardware and Cloud

The AI Stack

Perceive Learn Act Decide

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Autonomy Human-AI interaction Search, Plan and Prove Machine Learning, Deep Networks Sensors, Hardware and Cloud

The AI Stack

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1 mA neural network image detection

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Autonomy Human-AI interaction Search, Plan and Prove Machine Learning, Deep Networks Sensors, Hardware and Cloud

The AI Stack

Michael Kaess

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Autonomy Human-AI interaction Search, Plan and Prove Machine Learning, Deep Networks Sensors, Hardware and Cloud

Safety

Mike Wagner Phil Koopman

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Autonomy Human-AI interaction Search, Plan and Prove Machine Learning, Deep Networks Sensors, Hardware and Cloud

Negotiation & Deception

Optimize Safety Knowledge Network Game Theory

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Autonomy Human-AI interaction Search, Plan and Prove Machine Learning, Deep Networks Sensors, Hardware and Cloud

Negotiation & Surveillance

Optimize Safety Knowledge Network Game Theory Fei Fang [11]

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Autonomy Human-AI interaction Search, Plan and Prove Machine Learning, Deep Networks Sensors, Hardware and Cloud

Human-AI

Henny Admoni

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Autonomy Human-AI interaction Search, Plan and Prove Machine Learning, Deep Networks Sensors, Hardware and Cloud

Autonomy

Leidos (autonomy by CMU)

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Autonomy Human-AI interaction Search, Plan and Prove Machine Learning, Deep Networks Sensors, Hardware and Cloud

Autonomy

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Autonomy Human-AI interaction Search, Plan and Prove Machine Learning, Deep Networks Sensors, Hardware and Cloud

Autonomy

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This is where the AI business is at right now… …but we should also consider how we understand and empower humans… …and what it’s like to live and work in an AI-driven world… ……because it can go so wrong if done wrong but so right if done right… …and so at NSF we are investing strategically in AI.

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Appendix

[1] Stephen Smith | ssmith@andrew.cmu.edu | Research Professor, Robotics Institute & Director, Intelligent Coordination and Logistics Library

  • SURTRAC: https://www.surtrac.net/

[2] Marios Savvides | marioss@andrew.cmu.edu | Research Professor, Electrical and Computer Engineering & Director, CyLab Biometrics Center

  • Iris Recognition: https://www.cylab.cmu.edu/partners/success-stories/iris-recognition.html

[3] Eric Xing | epxing@cs.cmu.edu | Professor, Machine Learning Department | Founder, CEO & Chief Scientist at Petuum: http://www.petuum.com [4] Rita Singh | rsingh@cs.cmu.edu | Senior Systems Scientist, CMU Robust Speech Recognition Group, Language Technologies Institute

  • Using voice recognition to identify characteristics and surroundings:

http://www.csoonline.com/article/3112752/techology-business/voice-technologies-make- waves-in-security.html [5] Fernando de La Torre, Takeo Kanade, Jeff Cohn, Simon Lucey | slucey@cs.cmu.edu | Associate Research Professor, Robotics Institute & Director, CI2CV Computer Vision Lab: http://www.cs.cmu.edu/~CI2CV/ L.P. Morency | morency@cs.cmu.edu | Assistant Professor, Language Technologies Institute [6] Artur Dubrawski | awd@andrew.cmu.edu | Senior Systems Scientist, Robotics Institute

  • Marinus Analytics: http://www.marinusanalytics.com/,

http://www.cmu.edu/news/stories/archives/2015/january/detecting-sex-traffickers.html [7] Tuomas Sandholm | sandholm@cs.cmu.edu | Professor, Computer Science Department & Director, Electronic Marketplaces Laboratory

  • Using algorithms to match live kidney donors with recipients:

https://www.cmu.edu/news/archive/2010/November/nov16_kidneyalgorithm.shtml [7a] Mike Wagner | mwagner@cs.cmu.edu | Senior Commercialization Specialist, National Robotics Engineering Center (NREC) [7b] Phil Koopman | koopman@cmu.edu | Associate Professor, Electrical & Computer Engineering

  • Challenges in Autonomous Vehicle Testing and Validation:

https://users.ece.cmu.edu/~koopman/pubs/koopman16_sae_autonomous_validation.pdf [7c] André Platzer | aplatzer@cs.cmu.edu | Associate Professor, Computer Science Department

  • KeYmaera: A Hybrid Theorem Prover for Hybrid Systems:

http://symbolaris.com/info/KeYmaera.html [8] Martial Hebert | hebert@ri.cmu.edu | Professor and Director, Robotics Institute Jeremy Searock | jsearock@andrew.cmu.edu | Technical Program Manager, National Robotics Engineering Center Sarjoun Skaff | sarjoun@bossanova.com | Bossa Nova Robotics: http://www.bossanova.com/ David Brumley | dbrumley@cmu.edu | Director, CyLab Security and Privacy Institute and Bosch Professor of Computer Security and Privacy

  • CMU Wins Cyber Attack Challenge:

http://www.cmu.edu/news/stories/archives/2016/august/cyber-attack-challenge-winner.html

  • Paper: Using MAYHEM on Binary Code: https://users.ece.cmu.edu/~arebert/papers/mayhem-
  • akland-12.pdf

[9] L.P. Morency and 15-112 students Jen Mankoff | jmankoff@cs.cmu.edu | Professor, Human-Computer Interaction Institute

  • Crowd-sourced prosthetics; Giving a Hand to Those in Need:

https://www.hcii.cmu.edu/news/2016/giving-hand-those-need Howie Choset | choset@cs.cmu.edu | Associate Professor, Robotics Institute

  • Medrobotics: http://medrobotics.com/
  • Highly Articulated Robotics Probe for Minimally Invasive Surgery:

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2923469 [10] Claire Legoues: Automatic Bug Detection https://clairelegoues.com/ [11] Fei Fang---game theory against poaching, logging and mining https://feifang.info/research/ [12] User See, User Point: Gaze and Cursor Alignment in Web Search Jeff Huang, Ryen W. White, Georg Buscher , CHI 2012 [13] https://news.brown.edu/articles/2017/08/surveilliance [14] https://www.cs.cmu.edu/~mfredrik/papers/fredrikson-usenix14-genomic.pdf

  • B. Akin, F. Franchetti, J. C. Hoe

[15] Data Reorganization in Memory Using 3D-stacked DRAM (Franz Franchetti, CMU ECE) [16] Sandholm and Brown, CMU CS, http://www.cs.cmu.edu/~sandholm/safeAndNested.aaa17WS.pdf d International Symposium on Computer Architecture (ISCA), 2015