Learning from LinkedIn’s AI data reversal and Meta’s privacy backlash

Recently, LinkedIn suspended its practice of using user data by default to train its generative AI models in the UK, following privacy concerns raised by users and the UK Information Commissioner’s Office (ICO). Similarly, Meta faced public outrage over its plan to use Facebook and Instagram posts for AI training. Although Meta introduced an opt-out option, a viral hoax caused further confusion, severely eroding user trust, and again resulted in the ICO raising concerns over Meta’s practices.

These cases underscore a core challenge for businesses: AI models need large datasets to improve, but collecting this data without clear user consent can result in significant legal and reputational damage. For companies integrating AI into areas like recruitment, customer service, or product innovation, mishandling data not only risks fines—it can also break the trust of clients, employees, and stakeholders, threatening long-term business success.

These high-profile cases offer key takeaways:

1. Build trust through transparency
   Clearly communicate how customer and employee data will be used, especially for AI purposes. Transparent practices help avoid legal risks and strengthen the relationships your business relies on.
2. Regulatory compliance is non-negotiable
   Ensure your AI data practices comply with laws like GDPR. Regularly update your privacy notices and give users full control over their data, keeping your business compliant and protected.
3. Proactively manage risks
   Conducting a Data Protection Impact Assessment (DPIA) is essential when AI models process personal data. Identifying and mitigating risks early can prevent costly legal and reputational fallout.
4. Embrace privacy by design
   Integrate privacy into your AI projects from the start. This isn’t just about meeting regulatory requirements—it's about protecting your brand and preparing for future developments.

As AI continues to transform business operations, protecting user data must be a priority. Whether you’re developing your own AI systems or using third-party tools, our data protection experts can help ensure your data practices are transparent, compliant, and secure.