December 10, 2017

CATA crowdsources community guidance for ensuring Canadian A.I. leadership

CATA crowdsources community guidance for ensuring Canadian A.I. leadership

Artificial intelligence is an area of computer science that deals with giving machines the ability to seem like they have human intelligence, and it is the power of a machine to copy intelligent human behavior (English Language Learners)

Ottawa, ON...CATAAlliance, Canada’s One Voice for Innovation lobby group, is now crowdsourcing public policy guidance from its extensive social networks to help establish regulatory approaches to A.I., a fast growth, disruptive technology impacting all facets of society.

CATA CEO, John Reid, said, “ A first step is to engage all Canadian in an I.A. discussion and thus boost awareness of A.I.’s societal impacts. A case and point is self drive cars that potentially eliminate tens of thousand of jobs, yet this issue has not been raised in political debates. There are valid concerns about the impact of A.I. on jobs, privacy and military technology that we need to discuss as a community. ”

Paul Labarge, Partner at LW Law & CATA Spokesperson, commented on several of the legal aspects of A.I., noting,  “ Regulation and liability are two sides of the safety/public welfare A.I. coin. Regulation is about ensuring that AI systems are safe; liability is about who we can blame – or,  obtain legal redress from – when something goes wrong.”

He added, “ The development of rigorous safety standards and establishing safety certification processes for A.I. will be essential. But designing and operating a framework of institutions and processes will be challenging so as to not impede Canada’s success in this sector. “

Starting the Conversation with 3 A.I. Rules

First, an A.I. system should be subject to the same laws applicable apply to human operators as a rule covering private, corporate and government systems. A.I. cannot be allowed to cyber bully or manipulate stock exchanges.

Secondly,  an A.I. system should clearly disclose that it is not human. Computer programs can now engage in increasingly sophisticated dialogue with real people —  A.I. systems need to be clearly labeled, as such.

Third, an A.I. system should not be allowed to retain or disclose confidential information without explicit approval from the source of that information.  A.I. systems have the potential and have now acquired vast amounts of confidential information.

CATA CEO, John Reid, concluded, “ We need to do everything in power to support Canadian A.I. leadership to ensure that we cash in on a forecast (2025) $36.8 billion marketplace. Yes to regulating areas of tangible public risk, but no to stifling this high growth sector, at a time when other nations are advancing full speed ahead to build their competitive innovation nations. ”

Take a few minutes to add your A.I. guidance at CATA’s Linkedin social media group at this URL: or send an email to CATA CEO, John Reid at

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The Canadian Advanced Technology Alliance (CATAAlliance) is Canada’s One Voice for Innovation Lobby Group, and is crowdsourcing ideas and guidance from thousands of opt in members in moderated social networks in Canada and key global markets. (No Tech Firm Left Behind)

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Contact: CATAAlliance at, tel: 613-699-8209, website:, tags: Innovation. Leadership, Entrepreneurship, Advocacy