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<big><big><big>Experimentation</big></big></big>

<big><big><big>Experimentation</big></big></big>

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<span style="color: #00467f"><big>'''Experimentation & Innovation - Enabling the Use of New and Emerging Technologies and Innovative Regulatory Concepts'''</big></span>

<span style="color: #185267"><big>'''Experimentation & Innovation - Enabling the Use of New and Emerging Technologies and Innovative Regulatory Concepts'''</big></span>

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<span style="color: #00467f"><big>'''Leveraging AI to tackle regulatory challenges'''</big></span>

<span style="color: #185267"><big>'''Leveraging AI to tackle regulatory challenges'''</big></span>

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The CFR partnered with the Canada School of Public Service (CSPS) to obtain two cloud-based solutions in order to better understand how regulators could obtain and use AI.  The first application would facilitate the monitoring and reporting on the use of incorporation by reference within the federal regulatory stock (representing ~2,600 Acts and Regulations).The second software would enable users to search, find, analyze and visualize trends, patterns and relationships among the federal regulatory stock.

The CFR partnered with the Canada School of Public Service (CSPS) to obtain two cloud-based solutions in order to better understand how regulators could obtain and use AI.  The first application would facilitate the monitoring and reporting on the use of incorporation by reference within the federal regulatory stock (representing ~2,600 Acts and Regulations).The second software would enable users to search, find, analyze and visualize trends, patterns and relationships among the federal regulatory stock.

* [[Media: Regulatory Insights Projects EN June 2019.pdf|'''Enhancing Regulatory Insights and Policy Analytics through Artificial Intelligence, Rules as Code and Blockchain''']]<br>

* [[Media: Regulatory Insights Projects EN June 2019.pdf|'''Enhancing Regulatory Insights and Policy Analytics through Artificial Intelligence, Rules as Code and Blockchain''']]<br>

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<span style="color: #00467f"><big>'''Regulatory Sandboxes'''</big></span>

<span style="color: #185267"><big>'''Regulatory Sandboxes'''</big></span>

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As part of the regulatory reviews of three targeted sectors announced in Budget 2018, Treasury Board of Canada Secretariat announced that each targeted sector identify areas in which novel approaches to regulation could be implemented. As such, there has been much interest in identifying areas in which “regulatory sandboxes” could be used. However, there is no common understanding of what is meant by a “regulatory sandbox” or by other terms that refer to “regulatory experimentation”.  

As part of the regulatory reviews of three targeted sectors announced in Budget 2018, Treasury Board of Canada Secretariat announced that each targeted sector identify areas in which novel approaches to regulation could be implemented. As such, there has been much interest in identifying areas in which “regulatory sandboxes” could be used. However, there is no common understanding of what is meant by a “regulatory sandbox” or by other terms that refer to “regulatory experimentation”.  

* [[Media:B - EN - Regulatory Experimentation RSS January 2019 Patricia Pledge.pdf|'''Exploring Regulatory Experimentation''']]<br>

* [[Media:B - EN - Regulatory Experimentation RSS January 2019 Patricia Pledge.pdf|'''Exploring Regulatory Experimentation''']]<br>

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<span style="color: #00467f"><big>'''Rules as Code'''</big></span>

<span style="color: #185267"><big>'''Rules as Code'''</big></span>

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Rules as code is the process of translating legislation, regulation and policy from words into code. This involves taking the rules that are written in English/French and converting them into machine readable data and code. This also includes using coding concepts and logic in the initial design of legislative drafting, which should ultimately make legislation clearer and make it more easily machine interpretable.  

Rules as code is the process of translating legislation, regulation and policy from words into code. This involves taking the rules that are written in English/French and converting them into machine readable data and code. This also includes using coding concepts and logic in the initial design of legislative drafting, which should ultimately make legislation clearer and make it more easily machine interpretable.  

* [http://logic.stanford.edu/publications/genesereth/complaw.pdf '''Computational Law: The Cop in the Backseat''']

* [http://logic.stanford.edu/publications/genesereth/complaw.pdf '''Computational Law: The Cop in the Backseat''']

* [https://docs.google.com/document/d/1-7cJ0KsYzQ8IOY3L_bYXD3uCT7Eqh-crRJJaKMSb9yo/edit '''Agenda: Rules as Code Show & Tell''']

* [https://docs.google.com/document/d/1-7cJ0KsYzQ8IOY3L_bYXD3uCT7Eqh-crRJJaKMSb9yo/edit '''Agenda: Rules as Code Show & Tell''']

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