A discussion of the law of self defense in Canada, including the 2021 Supreme Court of Canada in R. v. Khill. We also make comparisons to the Kyle Rittenhouse case in the United States and discuss Canadian immigration implications involving the law of self defense in criminal matters.

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We took to Twitter to get listener questions for our first Ask Me Anything episode.

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Questions:

Will a gay refugee be deported if her sexuality changes?
Does Deanna have any insight or information into what is going on with caregiver applications?
Why are local visa offices not processing already approved express entry applications?
How do you think realistically IRCC should change their workflow and file processing?
Do we need to mention previous visa rejections in spousal sponsorship applications?
Why can spouses from visa exempt countries easily reunited with their loves ones in Canada while those who need visas cannot?
Why is there a particular hatred towards outland spousal apps?
What do you think about the IRCC’s local 3.5 workers to every 1 Canadian employed at the VO’s? Is this appropriate?
Why does artificial intelligence refuse so many applications?
Why is the IRCC so secretive?

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Aditya is an AI Thought Leader, scientist, engineer and a VC/PE advisor with experience that spans more than 20 years. He has deep expertise in corporate innovation, product strategy, M&A, and international business development with focus on AI, cloud and edge computing. In addition, he has worked on AI policy and governance in the UK and the US, addressing issues of ethics, transparency, and immigration as it relates to national security.  He is the founder of Robometrics® Machines and Skive it®, where he is building machines that can feel, specifically on-edge Artificial General Intelligence (AGI) that adds the element of safety, cognition, companionship, and emotional support to a host machine that is unique to you. As the Principal and CTO of Yingfluence, he has a unique perspective on building and scaling businesses cross-border.

We discuss the increasing use of artificial intelligence in Canadian immigration legislation, its benefits, and ways to increase transparency and oversight.

3:00 – What is artificial intelligence?

8:00 – What are deep learning systems?

14:00 – How does the use of artificial intelligence intersect with the rule of law?

21:00 – How do machines learn?

24:00 – Benefits of machine learning and immigration.

27:00 – Ways to improve transparency.

41:00 – Artificial intelligence providing reasons for refusals.

A discussion about the increasing use of artificial intelligence to decide immigration applications.

Mario Bellissimo is a Canadian immigration lawyer in Toronto, and the former past Chair of the Canadian Bar Association’s National Immigration Law Section.

4:00 How imprecise wording in the forms can result in misrepresentation findings where immigration becomes a game of gotcha.

10:30 How the laws of procedural fairness and discretion will need to be re-written as a result of the implementation of artificial intelligence and predicative learning in immigration systems.

13:30 How using AI to triage applications is itself a form of automated decision making and why is there a lack of transparency about this?

19:25 The history of the introduction of AI at IRCC.

28:20 What is Chinook and ?

36:00 How processing delays can lead to applications being denied simply because they are moot.

39:00 How does one learn what AI is being used or whether a decision was made by AI?

44:45 If AI flags a file as being problematic does that create a proxy decision wherein a visa officer will want to affirm the AI.

1:03 AI as counsel

55:00 Is it possible that AI will lead to a better immigration system as the AI will be able to thoroughly scan applications that humans have to skim given the limited number of decision makers and the large number of applications.

1:13 The future. When AI analyzes the social media of a representative when assessing their client’s application.

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