Within an established AI governance infrastructure, what might be the most effective governance action to handle third-party AI systems deemed to be high-risk?
Answer(s): A
Aligning impact assessment activities with regulatory and legal requirements ensures that high-risk third-party AI systems are evaluated rigorously and managed in compliance with relevant standards.
CASE STUDYPlease use the following to answer the next question:A premier payroll services company that employs thousands of people globally, is embarking on a new hiring campaign and wants to implement policies and procedures to identify and retain the best talent. The new talent will help the company's product team expand its payroll offerings to companies in the healthcare and transportation sectors, including in Asia.It has become time consuming and expensive for HR to review all resumes, and they are concerned that human reviewers might be susceptible to bias.To address these concerns, the company is considering using a third-party AI tool to screen resumes and assist with hiring. They have been talking to several vendors about possibly obtaining a third-party AI-enabled hiring solution, as long as it would achieve its goals and comply with all applicable laws.The organization has a large procurement team that is responsible for the contracting of technology solutions. One of the procurement team's goals is to reduce costs, and it often prefers lower-cost solutions. Others within the company deploy technology solutions into the organization's operations in a responsible, cost-effective manner.The organization is aware of the risks presented by AI hiring tools and wants to mitigate them. It also questions how best to organize and train its existing personnel to use the AI hiring tool responsibly. Their concerns are heightened by the fact that relevant laws vary across jurisdictions and continue to change.Which of the following measures should the company adopt to best mitigate its risk of reputational harm from using the AI tool?
Testing the AI tool before and after deployment helps identify biases and errors early, reducing the risk of reputational harm by ensuring the system performs fairly and reliably.
You are a privacy program manager at a large e-commerce company that uses an AI tool to deliver personalized product recommendations based on visitors' personal information that has been collected from the company website, the chatbot and public data the company has scraped from social media.A user submits a data access request under an applicable US state privacy law, specifically seeking a copy of their personal data, including information used to create their profile for product recommendations.What is the most challenging aspect of managing this request?
Answer(s): D
Unstructured data that cannot be easily separated from information about other individuals makes fulfilling the data access request complex while ensuring privacy for others.
An artist has been using an AI tool to create digital art and would like to ensure that it has copyright protection in the United States.Which of the following is most likely to enable the artist to receive copyright protection?
Copyright protection typically requires a human author's creative input, so modifying AI-generated images in a creative way demonstrates the artist's originality needed for copyright.
A French medical research center wishes to develop an AI-based system which will predict the risk of serious diseases based on the patient's genetic data. In order to do so it contracts with a tech company and provides it with patients' data previously obtained by the center during the research.To guarantee compliance when processing special categories of personal data, the medical research center must ensure that:
Answer(s): C
Processing special categories of personal data, like health and genetic data, requires explicit consent from patients to ensure compliance with data protection laws.
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