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The folks at BIT have been working with the Ontario Securities Commission to use behavioural insights to understand the opportunities and challenges posed by AI in investment […]

The folks at BIT have been working with the Ontario Securities Commission to use behavioural insights to understand the opportunities and challenges posed by AI in investment. Read the report: https://www.osc.ca/en/investors/investor-research-and-reports/artificial-intelligence-and-retail-investing#!tabContent529671

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The recent increase in the scale and applications of artificial intelligence (AI) presents a range of new possibilities and potential risks to retail investors. As such, securities regulators are striving to understand, prioritize, and address potential investor harms, while continuing to foster innovation.

The research findings presented in this report were developed by the Ontario Securities Commission (OSC) in collaboration with the Behavioural Insights Team (BIT) as part of the OSC’s evidence-based approach to regulatory and educational initiatives. Our findings stem from two research streams. We conducted a literature review and environmental scan of investing platforms to understand the prominent use cases of AI systems that are retail investor-facing. We then used the findings from this research to inform the design and implementation ofa behavioural science experiment to determine how the source of an investment suggestion – AI, human, or a blend of the two – impacts the extent to which investors follow that suggestion.

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