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Please use the following answer the next question:

XYZ Corp., 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.

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 are responsible for integrating and deploying 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 frameworks that would be most appropriate for XYZ's governance needs would be the NIST Al Risk

Management Framework and?

What is the term for an algorithm that focuses on making the best choice achieve an immediate objective at a particular step or decision point, based on the available information and without regard for the longer-term best solutions?

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?