SEC Fines Toronto-Based Delphia and San Francisco-Based Global Predictions for Misleading AI Claims

Monday, 18 March 2024, 20:17

Two investment firms were fined a total of $400,000 by the Securities and Exchange Commission (SEC) for making false statements about their artificial intelligence capabilities. The SEC crackdown on 'AI washing' emphasizes the importance of accurate disclosures and the need to protect investors from misleading information. Delphia and Global Predictions faced penalties for misrepresenting their AI use, reflecting a broader concern in the investment industry. The enforcement actions serve as a warning to companies utilizing AI technologies to ensure transparency and honesty in their marketing practices.
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SEC Fines Toronto-Based Delphia and San Francisco-Based Global Predictions for Misleading AI Claims

SEC Fines Two Investment Firms for Deceptive 'AI Washing' Practices

Two investment firms agreed to pay a combined $400,000 in penalties to settle charges for making false and misleading statements about their use of artificial intelligence. Neither Toronto-based Delphia nor San Francisco-based Global Predictions admitted nor denied the civil charges, highlighting the SEC's focus on cracking down on 'AI washing'.

Delphia Misrepresentation and Settlement

Between 2019 and 2023, Delphia claimed AI and machine learning capabilities in SEC filings, press releases, and its website, leading to a $225,000 settlement in the civil case.

Global Predictions' Misleading AI Claims

Global Predictions faced a $175,000 civil penalty for misrepresenting its AI usage on its platforms and cooperated in clarifying how AI is utilized in its operations.

SEC's enforcement actions signal a need for investment firms to ensure the accuracy of AI-related disclosures to avoid misleading investors.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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