Explanation:
Techniques like de-identification and aggregation are effective in minimizing the risks associated with handling individual consumer data. These technologies allow the AI system to provide personalized experiences while safeguarding consumer privacy. This approach not only enhances the trustworthiness of the AI system but also ensures compliance with increasingly stringent data protection regulations.
A is incorrect as merely assuring stakeholders of compliance does not actively address the potential risks of exposing consumer data. The approach needs to be more proactive in enhancing privacy within the AI system.
C is incorrect because relying solely on publicly available data may not fully address the privacy concerns. It limits the AI model's capabilities and does not employ active measures to enhance privacy in data processing.
D is incorrect as simply increasing security around stored data does not address how the AI model processes and potentially exposes consumer data. While data security is important, privacy enhancement within the AI model itself is crucial for addressing privacy concerns in AI-driven solutions.
Ultimate access to all questions.
No comments yet.
Q.5709 You are a privacy officer at DataSecure Analytics, a data analytics firm that specializes in AI-driven marketing solutions. The company's latest AI model analyzes consumer data to provide personalized advertising experiences. However, there are growing concerns about how the AI model uses and potentially exposes individual consumer data, raising privacy issues. To address these concerns and ensure compliance with data protection regulations, your team needs to revise the AI system's approach to handling consumer data. In line with the AI Risk Management Framework's emphasis on privacy-enhanced AI, what is the most effective approach to address these privacy concerns?
A
Continue using the AI model as it is but assure stakeholders and consumers that all data is handled securely and in compliance with privacy laws.
B
Implement privacy-enhancing technologies (PETs) in the AI model, such as de-identification and aggregation techniques, to minimize the risk of exposing individual consumer data.
C
Restrict the AI model to use only publicly available consumer data, avoiding the need for any privacy enhancements in the model.
D
Increase the security measures around the stored consumer data, focusing on preventing unauthorized access but leave the model's data processing methods unaltered.