HRM 498 Week 4 Emerging HR Issues Example

AI Résumé Screening, Hybrid Engineers, Posted Pay Ranges and a Retiring Generation: Four Emerging HR Issues Front Range Infrastructure Group Must Decide On Now

[Student Name]

University of Phoenix

HRM/498: Strategic Human Resource Management and Emerging Issues

Week 4 Assignment

[Instructor Name]

[Date]

Front Range Infrastructure Group and its decisions are composites written for a model paper; laws are summarized generally from the sources listed and research findings are stated generally.

The firm is hiring 50 engineers a year under its strategic HR plan. In one quarter, four issues reached its chief people officer: a vendor's AI screening tool, engineers' requests for hybrid schedules, the firm's obligations under Colorado's pay transparency law and the coming retirement of several senior project leaders. Emerging issues become urgent when a decision is due, and all four arrived with deadlines attached. This paper decides how Front Range should respond to each.

Issue One: AI in Résumé Screening

A vendor offered software that ranks applicants by predicted job success, trained on the firm's past hiring data. The promise is speed: engineering openings draw hundreds of applicants. The risk is that a model trained on past hires reproduces past patterns, such as a historical underrepresentation of women among civil engineers. Raghavan et al. (2020) examined vendors of algorithmic hiring tools and found that their claims about validity and bias mitigation were often vague and hard to verify.

The Legal Picture for AI in Hiring

Employers remain responsible under federal discrimination law for disparate impact from tools they use, whether built in-house or bought. Colorado enacted a law in 2024 regulating high-risk artificial intelligence systems, including those used in employment decisions, requiring deployers to use reasonable care to prevent algorithmic discrimination, conduct impact assessments and notify affected people, with its effective date set for 2026 after a legislative delay. Rules are still evolving.

Recommendation on AI

Front Range will not use the tool to rank or reject applicants for now. It will pilot it only to flag applications for human review, run an adverse impact analysis on results before any wider use, require the vendor to document validation and bias testing and revisit the decision when Colorado's law takes effect and guidance is clearer. Structured interviews and work samples remain the core of selection.

Issue Two: Hybrid Work for Engineers

Design engineers spend much of their time modeling and drafting, work that can be done remotely, while field engineers and project managers must be on sites. Engineers cite hybrid schedules as a reason they consider other offers. Bloom et al. (2024) randomly assigned employees at a large company either to two home days a week or to full office attendance; the hybrid group left the firm noticeably less often, with no measurable difference in performance reviews or promotions over two years.

Recommendation on Hybrid Work

Office-based design engineers will be offered two remote days a week, with core collaboration days set by team, while field roles remain on site with flexibility around site schedules. The firm will track retention, project quality and mentoring of junior engineers, since in-person learning matters for new graduates, and will require new engineers to spend their first year mostly in the office.

Issue Three: Pay Transparency

Colorado's equal pay law requires employers to include pay ranges and a description of benefits in job postings and to notify employees of promotion opportunities. The requirements make pay structures visible to applicants and current employees, who can compare their pay with posted ranges. In the study by Card et al. (2012), employees who discovered they earned less than coworkers grew less satisfied and more inclined to job hunt, so visibility without fairness creates turnover.

Recommendation on Pay Transparency

Front Range will publish ranges from its updated structure, conduct a pay equity analysis before posting, correct unexplained gaps and train managers to explain where employees sit in their ranges and why. The market pay adjustments in the strategic plan make posted ranges competitive.

Issue Four: A Retiring Generation

About a fifth of Front Range's senior project managers are near retirement. Their knowledge of clients, regional conditions and project risks is hard to document. The firm will offer phased retirement, allowing senior leaders to reduce hours while mentoring, pair each with a successor on major projects and capture lessons in project reviews and short recorded briefings.

Skills-Based Hiring as a Related Option

The AI question opened a broader one: whether Front Range should require four-year degrees for all technical roles. For licensed engineers, the degree is required for licensure. For roles such as construction inspectors, estimating technicians and drafters, demonstrated skills may predict performance as well as degrees do. Removing degree requirements for those roles, and testing skills directly, widens the pool of applicants, including veterans with relevant experience. The firm will pilot skills-based hiring for inspectors and drafters and track the performance of those hired.

Employee Data and Privacy

Each issue generates data about employees: AI tools score applicants, hybrid work generates usage data and pay equity analyses hold sensitive information. Front Range will limit access to those data, explain to employees what is collected and why and avoid monitoring remote engineers' activity minute by minute, which research and experience suggest damages trust more than it improves productivity.

How the Issues Connect to Strategy

Each issue affects the strategic bottleneck. Fair, well-validated hiring supports the 50 engineering hires a year. Hybrid work aids retention of design engineers. Pay transparency done well supports market competitiveness. Phased retirement protects the project manager pipeline.

Communicating the Decisions

Each decision will be explained to employees in plain terms: why the firm is cautious about AI ranking, who is eligible for hybrid schedules and why, how posted ranges were set and how phased retirement works. Explaining the reasoning, not just the rule, helps employees accept decisions they would not have chosen and signals that the firm takes these issues seriously.

Uncertainty and Review

AI regulation and hybrid work evidence are still developing. The chief people officer will revisit both decisions annually and report to the executive committee.

Conclusion

Front Range will limit AI screening to a monitored pilot under human control while state rules take effect, offer hybrid schedules to design engineers based on experimental evidence, publish pay ranges after fixing equity gaps and use phased retirement to transfer senior leaders' knowledge. Each decision supports the strategic HR plan and includes a point to review as evidence and law change.

References

Bloom, N., Han, R., & Liang, J. (2024). Hybrid working from home improves retention without damaging performance. Nature, 630(8018), 920-925. https://doi.org/10.1038/s41586-024-07500-2

Card, D., Mas, A., Moretti, E., & Saez, E. (2012). Inequality at work: The effect of peer salaries on job satisfaction. American Economic Review, 102(6), 2981-3003. https://doi.org/10.1257/aer.102.6.2981

Raghavan, M., Barocas, S., Kleinberg, J., & Levy, K. (2020). Mitigating bias in algorithmic hiring: Evaluating claims and practices. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (pp. 469-481). Association for Computing Machinery. https://doi.org/10.1145/3351095.3372828