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Expanded my knowledge of duty to accommodate, and identified the significant factors at play in each instance.  
- HR Advisor
Canada Revenue Agency
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Preparing for

Artificial Intelligence in the Public Sector

Be Ready for a Future in which AI will be the Basis of Decision Making in the Public Sector!

February 18 - 19, 2020  ·  Ottawa, Ontario
 
   
 
Day One Agenda | Tuesday, 18 February, 2020
 
8:00 - 9:00        Registration and Continental Breakfast
 
9:00 - 9:10
Welcome and Opening Remarks from the Chair
John Lark, Co-Founder, Applied AI Canada Inc.
 
9:10 - 10:00
Responsible Use of AI: An Update from the Treasury Board of Canada Secretariat
  • Provide government-wide guidelines and regulations on the use of Automated Decision Systems (ADS)
  • Developing and maintaining the Algorithmic Impact Assessment
  • Develop common strategies across jurisdictions
  • Learn ways you can support the responsible use of ADS
  • Hear what protocols need to be in place to ensure responsible AI
 
10:00 - 10:15        Networking Break
 
10:15 - 11:15
Machine Learning applied to Cyber Security … This time it’s different?
Major James Lindsay, Chief Architect and Engineer of End Point Security, Department of National Defence
  • Is Machine Learning, when applied to cyber security, just a buzzword that is nearing the end of a hype cycle. Or has a fundamental shift in technology occurred that requires the cyber community to rethink how it delivers cyber security defence
  • Quick Deep learning overview
  • Where is Machine learning currently being used within cyber security
  • Potential existing applications of machine learning to cyber security issues
  • Geopolitical drivers of AI and Machine learning adoption
 
11:15 - 12:15
How Standards Bridge the Gap between AI Innovation and Implementation
Keith Jansa, Executive Director, CIO Strategy Council
  • Learn about how standards play a critical role in facilitating innovation and addressing the ethical use of artificial intelligence
  • Hear about the latest developments in the creation of Canadian standards for the digital space – from data governance to AI and cybersecurity
  • Discover partnership and thought leadership that is bridging the divide between public and private sector innovation
  • Explore novel use cases modernizing the toolkit for bringing AI products and services to market
  • Learn about how Canada is poised to provide an international benchmark for the next generation of AI talent to drive future certification and credentialing programs at the national, regional and international level
 
12:15 - 1:15        Luncheon Break
 
1:15 - 2:15
Artificial Intelligence: Risks, Threats & How to Mitigate Them
John Craig, Director, Government & Integration Partnerships, MindBridge Ai
  • Discuss potential concerns around the road to litigation and loss of privacy
  • Overcome challenges in big data and analytics
  • AI’s biggest risk factor: big data itself
  • Learn how to identify and prevent threats and risks
  • Tools to predicting failures that might occur
 
2:15 - 3:15
AI in the Public Sector – A source of uncertainty
John Lark, Co-Founder, Applied AI Inc.

The arrival of computers and the Internet changed all aspects of our lives, Artificial Intelligence is similarly swiftly changing our world from predicting products you may want to purchase to analysing medical test results and predicting.

In response to this pervasive implementation of AI, the Treasury Board Secretariat has developed a Directive on automated decision making that comes into force on April 1, 2020 and which applies to any AI system developed or procured after April 1, 2020. The objective of the TBS Directive is to ensure that automated decision systems are deployed in the federal government in a manner that reduces risk to Canadians and to federal institutions, and in a way that leads to more efficient, accurate, consistent, and interpretable decisions.

  • The following techniques are specifically identified as related to AI: rules-based systems, regression, predictive analytics, machine learning, deep learning, and neural nets
  • The presentation will touch on how to determine whether AI is a good fit for the problem you have or the operation you are thinking of modifying
  • There will be a question and answer session at the end to respond to specific areas of interest to conference participants
 
3:15 - 3:30        Networking Break
 
3:30 - 4:30
Overcoming Security, Privacy & Ethical Dilemmas
  • Key considerations in ensuring decision-making around AI are ethical
  • Learn how to train AIs to act as responsible representatives of organizations
  • Implement standards to govern liability, what’s acceptable and what’s not
  • Learn how to address issues in data governance, intellectual property ownership, human rights & more
  • Explore ways to gain the public’s trust in ethics around AI
 
4:30        Closing Remarks from the Chair
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