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A company developed Al technology that can analyze text, video, images and sound to tag content, including the names of animals, humans and objects. What type of Al is this technology classified as?

What is the best method to proactively train an LLM so that there is mathematical proof that no specific piece of training data has more than a negligible effect on the model or its output?

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 Al tool to screen resumes and assist

with hiring. They have been talking to several vendors about possibly obtaining a third-party Al-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 Al hiring tools and wants to mitigate them. It also

questions how best to organize and train its existing personnel to use the Al hiring tool responsibly. Their

concerns are heightened by the fact that relevant laws vary across jurisdictions and continue to change.

The organization continues planning the adoption of an AI tool to support hiring, but is concerned about

potential bias in content generated by AI systems and how that could affect public perception.

Which of the following measures should the company adopt to best mitigate its risk of reputational harm

from using the AI tool?

According to the GDPR, what is an effective control to prevent a determination based solely on automated decision-making?