Microsoft Cloud Computing Research Centre

Slides:



Advertisements
Similar presentations
The Development of AI St Kentigerns Academy Unit 3 – Artificial Intelligence.
Advertisements

By William Evans. What IN THE WORLD is A.I A.I stands for Artificial Intelligence, or pretty much man made intellect. A.I is a term brought up by John.
Artificial Intelligence
ATP, PAID 1, Studying Personality Tom Farsides Studying Personality.
Hands-On-Line Conclusion. Question 1 Which class would you choose? Explain why. Face-to-Face because I generally like to interact with other people.
A Brief History of Artificial Intelligence
 Prominent AI Reseacher  Colleague of Alan Turing at Bletchley Park  1992 Paper: ◦ Turing’s Test and Conscious Thought Turing’s Test and Conscious.
Ethical and Social...J.M.Kizza 1 Module 10: New Frontiers for Computer Ethics: Artificial Intelligence Introduction Artificial Intelligence.
For Friday Read chapter 27 Program 5 due.
SPHERES OF ARTIFICIAL INTELLIGENCE Gafur Djumaniyazov.
How Solvable Is Intelligence? A brief introduction to AI Dr. Richard Fox Department of Computer Science Northern Kentucky University.
1 CMSC 671 Fall 2001 Class #11 – Tuesday, October 9.
University of Kurdistan Artificial Intelligence Methods (AIM) Lecturer: Kaveh Mollazade, Ph.D. Department of Biosystems Engineering, Faculty of Agriculture,
 You find patterns.  You use rhymes.  You use stories.  You relate them to what you already know.
Machines Who Think By: Pamela McCorduck Presentation By: Chantal Ivenso University of Cincinnati.
The Pros and Cons of Cloud Computing 2 Papers: The Case for Cloud Computing by Robert L. Grossman (2009) – Professor of Mathematics, Statistics and Computer.
AZURE MACHINE LEARNING Bringing New Value To Old Data SQL Saturday #
Uses and Limitations Fall 2013 COMP3710 Artificial Intelligence Computing Science Thompson Rivers University.
 History  What is AI?  Current implementations  Future of AI  Conclusion  References.
Artificial Intelligence. What is AI? „Study of intelligent behavior and the attempt to find ways in which such behavior could be engineered in any kind.
How is Technology Changing Childhood? By Kendall Black Soc sp14.
Information Systems in Organizations 1.1 Introduction to MIS
It’s Time for Cognitive Computing
Teck Chia Partner, Exponent.vc
Information Systems in Organizations 1.1 Introduction to MIS
Martin Ince Communications Limited
Bringing Advanced Analytics to Healthcare
“Urgency in the Accounting Supply Chain – The Case of Accounting Digitization” Daniel O’Leary, University of Southern California September 8, 2017.
Information Systems in Organizations 1.1 Introduction to MIS
Siemens Enables Digitalization: Data Analytics & Artificial Intelligence Dr. Mike Roshchin, CT RDA BAM.
The History of Computing
“On Twitter as many as one in 20 active accounts are fakes… ”
Bridge (and Card Games) in General
Re-inventing Safety and Security – A Symposium of the Leiden-Delft-Erasmus Centre for Safety and Security, 23 January 2017.
COMP3710 Artificial Intelligence Thompson Rivers University
Kathy Ball, Manager E&P Advanced Analytics and Data Science
Information Systems in Organizations 1.1 Introduction to MIS
Artificial Intelligence and Society
Techshare Pro | BREAKTHROUGH WEARABLE ASSISTIVE TECHNOLOGY
Regulating Artificial Intelligence
Information Systems in Organizations 1.1 Introduction to MIS
Information Systems in Organizations 1.1 Introduction to MIS
Information Systems in Organizations 1.1 Introduction to MIS
Information Systems in Organizations 1.1 Introduction to MIS
Information Systems in Organizations 1.1 Introduction to MIS
Information Systems in Organizations 1.1 Introduction to MIS
Course Instructor: knza ch
Text Categorization Document classification categorizes documents into one or more classes which is useful in Information Retrieval (IR). IR is the task.
Information Systems in Organizations 1.1 Introduction to MIS
Information Systems in Organizations 1.1 Introduction to MIS
Alysia Gooden | November 29th 2018
Artificial Intelligence and Its Implications On the Future of Humanity
Instructor: Vincent Conitzer
Artificial Intelligence
Future of Artificial Intelligence
Key Manager Domains February, 2019.
COMP3710 Artificial Intelligence Thompson Rivers University
RETHINKING INDUSTRIAL POLICY IN THE DIGITAL AGE: CHALLENGES FOR EUROPE
Best in Class Reporting to What’s Next: A/I Driven Insights
Rise of the Machines In your own words, answer the following questions. Use the slides on the following pages for your answers. Print your work six slides.
Introduction to Artificial Intelligence Instructor: Dr. Eduardo Urbina
Intelligent Process Automation in Audit
Information Systems in Organizations 1.1 Introduction to MIS
Artificial Intelligence and Searching
Some definitions Data science produces insights
Artificial Intelligence Machine Learning
The Intelligent Enterprise and SAP Business One
Artificial Intelligence Andrea Danyluk For FPS 2/2/04.
Accounting Visionaries: What’s Next
4IR and Gaming: Opportunities and Challenges
Presentation transcript:

Microsoft Cloud Computing Research Centre 3rd Annual Symposium, 8th September 2016 Machine Learning, Artificial Intelligence, and Human Data Interaction Jon Crowcroft jon.crowcroft@cl.cam.ac.uk

Artificial Intelligence (AI) / Machine Learning (ML) Old story of strong AI v. weak AI Most recent headline successes are weak AI NLP, ML, Stats at scale PCA & Clustering Pattern recognition Model inferencing….

AI & Human There’s a lot of difference between ML & strong AI Replacing human intelligence is a ways off according to many experts Despite the recent hyped success in Go, still just an NN (and recall, chess players really aren’t strong AIs) Strong AI gives rise to concern about existential threat c.f. Dune (1965), Colossus (1966) or Terminator (1984) But we don’t have to go that far to foresee problems…

ML & Human But ML already gives us pause for thought about how it interacts with human domain Just as there was a transition from early human computors… ....to digital computation Also human, accountants, auditors, quants, actuaries, mad men... …to analytics And this has widespread societal consequences

Human Data Interaction (HDI) Agency Legibility Negotiability Present in GDPR… For more, see: ‘Human-Data Interaction: The Human Face of the Data-Driven Society’ http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2508051

Conclusions It’s a minefield Concentrating on ML today, however we will have a brief discussion later on AI/HDI “The future is already here, it is just unevenly distributed”, William Gibson (The Economist, 2001) So “The proper study of ethics, law & ML is no more nor less than the proper study of humans, ethics and law” – me, just now

Microsoft Cloud Computing Research Centre 3rd Annual Symposium, 8th September 2016 Machine Learning, Artificial Intelligence, and Human Data Interaction Jon Crowcroft jon.crowcroft@cl.cam.ac.uk