Standards, Ethics & Regulations (SER)
Big tech is spending big on AI technologies. Training and operating them has raised concerns about environmental impact. What disclosures should sustainable investors demand?
Learn how market volatility can distort carbon metric comparisons over time, complicate medium-term target setting, and create additional reporting challenges.
As regulators continue to refine their understanding of AI and big data, financial institutions have an opportunity to shape the regulatory landscape by participating in discussions and implementing responsible practices.
The use of AI technology in the investment management process and client communications holds many ethical dimensions. This is the second part of a case study through the lens of CFA Institute's Code of Ethics and Standards of Professional Conduct.
Can you identify the ethical issues that arise in this specific use case of AI in the investment management process and related client communications?
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Survey results: How firms are dealing with some of the most challenging issues in the SEC Marketing Rule.
Big data-driven AI in financial services is a technology that augments human capabilities. We are living in countries governed by the rule of law, and only humans can adopt safeguards, make decisions, and take responsibility for the results.
The Fed and other leading central banks are progressively aligning with climate change policies. This marks an evolution toward a greener form of capitalism in the global capital markets.
Risk managers must look at market and model risk through a single lens to see the complete picture of their market-related investment and trading risks, as well as management costs, complexities, time, and regulatory requirements.