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Today’s finance leaders are increasingly tasked with privacy, security, and compliance concerns, particularly those in financial services firms as they race to harness the potential of generative AI for efficiency and productivity and elicit the most benefit. AI now presents these leaders with a new slate of concerns and level of complexity as they work to balance compliance and innovation. For example, what data are models trained on, and what are the implications of using customer data in model training? CFOs and finance leaders are extremely excited about the cost savings and opportunities with AI - but they are also concerned about the risks.
We’ve seen financial services firms fined billions by the SEC around lack of archival of off-channel communications, e.g. the use of WhatsApp and WeChat – but does that mean firms are now required to archive conversations with AI bots? Wealth and investment managers also must manage concerns around AI hallucinations and the impact that has both on the research and trading process. It is possible that an AI miscalculates the risk of a position and the end client is erroneously over-exposed to the market.
Anticipating Challenges in the AI Compliance Frontier
How can firms navigate these internal and external pressures with clarity and confidence? They must anticipate compliance challenges in AI deployments and prepare today for new regulatory headwinds.
As we approach the end of 2024, leaders should be considering how they can improve their compliance posture to reap the full benefits of generative AI. That will entail a focus on:
Adapting Your Strategy for the Future
To address these emerging compliance concerns effectively and position your firm for success, consider implementing the following essential tools and practices:
Embracing the Convergence
Improving compliance on the AI front requires validation, testing, and tight feedback loops, in addition to transparency, disclaimers, and circuit breakers. As finance leaders confront mounting data privacy concerns, now is the time to ensure they have a robust governance framework in place, deploy compliance-focused AI solutions, implement continuous monitoring and auditing, and invest in ongoing training and awareness programs. The key to success lies in establishing clear policies, embracing strategic foresight, and committing to responsible AI utilization to usher in a future where AI and compliance converge to redefine the norms of our industry.
This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author.
Roman Eloshvili Founder and CEO at XData Group
06 December
Robert Kraal Co-founder and CBDO at Silverflow
Nkiru Uwaje Chief Operating Officer at MANSA
05 December
Ruoyu Xie Marketing Manager at Grand Compliance
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