{"id":12255,"date":"2024-10-07T15:14:40","date_gmt":"2024-10-07T15:14:40","guid":{"rendered":"https:\/\/comply-dev.peaktwo.com\/?post_type=resource_posts&p=12255"},"modified":"2025-07-31T16:38:08","modified_gmt":"2025-07-31T16:38:08","slug":"ai-and-data-privacy-balancing-innovation-and-compliance-uk-edition","status":"publish","type":"resource_posts","link":"https:\/\/www.comply.com\/en-gb\/resource\/ai-and-data-privacy-balancing-innovation-and-compliance-uk-edition\/","title":{"rendered":"AI and Data Privacy: Balancing Innovation and Compliance"},"content":{"rendered":"

Artificial intelligence (AI) has been<\/span> embraced within the financial services space<\/span>, thanks largely to its ability to improve operational efficiencies, instantaneously analyze data, and assist advisers in delivering a more fulsome client experience.\u00a0<\/span>\u00a0<\/span><\/p>\n

From automating document generation to analyzing compliance policies for potential risks, AI can be used to help firms of any size function more efficiently. At the same time, it\u2019s important for financial professionals to remember <\/span>the potential risks and pitfalls associated with AI<\/span><\/a> \u2013 and keep in mind that human review and support is still necessary.<\/span>\u00a0<\/span><\/p>\n

Not only does introducing more technology (and more specifically, technology that may require an advanced skillset or knowledge to understand) open your firm up to potential cybersecurity challenges, but it can also throw a wrench in your current compliance Policies and Procedures.\u00a0<\/span>\u00a0<\/span><\/p>\n

<\/span>AI and Data Privacy: 5 Best Practices for Balancing Compliance and Trust<\/span>\u00a0<\/span><\/span><\/h2>\n

Investment advisers and other financial services firms have a responsibility to balance <\/span>the benefits of AI<\/span><\/a> with the imperative to protect sensitive client data. Here are five ways you can work to more effectively navigate your compliance obligations while incorporating AI into your firm.<\/span><\/p>\n

1. Update Your Technology-Focused Policies and Procedures<\/strong><\/p>\n

Within your compliance procedures, establish specific policies regarding technology, AI, and protecting sensitive data. Assume everyone in your firm has varying levels of tech capabilities and understanding \u2013 meaning your policies must be inclusive and clear enough to provide guidance for all team members, from the new college intern all the way to your C-suite.<\/span>\u00a0<\/span><\/p>\n

Regarding the use of AI, your team will need to be cognizant of potential algorithmic biases that could disadvantage certain groups and establish parameters to mitigate them. For example, you may need to use a more diverse data set when training your generative AI system and implement bias detection algorithms to alert your team to potential issues.<\/span>\u00a0<\/span><\/p>\n

Within your AI-focused procedures, it\u2019s important to also include a mandatory human review and validation of anything generated or decided by AI, especially material that is client-facing or contains sensitive data. You may find it helpful to <\/span>work with a compliance professional <\/span><\/a>who understands the intersection of AI capabilities and compliance concerns.<\/span><\/p>\n

2. Establish Robust Data Security Measures<\/strong><\/p>\n

Your clients trust in your ability to safeguard their most sensitive data. As you incorporate more AI functionality into your practice, you\u2019ll need to take proactive measures to protect that data against unauthorized access, misuse, and cyber-attacks.<\/span>\u00a0<\/span><\/p>\n

Corporate policies should cover important data privacy procedures such as:<\/span>\u00a0<\/span><\/p>\n