What's Happening?
H&M Fashion USA, Inc. is utilizing an online assessment tool called Maki for skills-based selection of applicants for sales advisor positions in some of its U.S. stores. This tool, which is not an automated decision-making system, uses an AI-created avatar
to present multiple-choice questions designed by the H&M hiring team. The assessment evaluates candidates' abilities relevant to the job duties, calculating a total score based on predefined point values. While completing the assessment is optional, the hiring team considers the score, alongside the full application, when deciding whether to advance a candidate. H&M emphasizes its commitment to providing reasonable accommodations for applicants with disabilities and offers an alternative assessment method upon request, ensuring it does not affect a candidate's chances. The company also states that it does not sell the information captured in the questionnaire and does not use personal information to train any AI models.
Why It's Important?
The adoption of AI-powered assessment tools by major retailers like H&M signifies a growing trend in U.S. recruitment practices. This shift aims to streamline the hiring process, potentially reducing unconscious biases often associated with traditional methods like cover letters, which H&M explicitly asks applicants not to submit. For job seekers, this means adapting to new application formats that prioritize skills-based evaluations. For the retail industry, such tools could lead to more efficient talent acquisition and a more diverse workforce, aligning with H&M Group's stated commitment to inclusivity and diversity. However, it also raises questions about the transparency and fairness of AI algorithms in employment decisions, despite H&M's assurances that Maki is not an automated decision-making tool and that human review is still involved.
What's Next?
H&M will continue to use the Maki assessment tool for sales advisor roles in select U.S. stores, with applicants having the option to complete it or request an alternative method. The company will retain applicant information, including assessment responses, for three years in applicant files, as outlined in its Applicant Privacy Notice. This ongoing implementation will likely provide further data on the effectiveness and fairness of AI in recruitment. Other U.S. companies may observe H&M's experience to inform their own adoption of similar technologies. Candidates will need to be prepared for these types of digital assessments, and H&M will need to maintain clear communication regarding its data privacy practices and commitment to equitable hiring.
Beyond the Headlines
The integration of AI into hiring processes, as seen with H&M's Maki tool, touches upon broader ethical and legal considerations in the U.S. labor market. While designed to reduce bias, the development and deployment of AI tools themselves can inadvertently introduce new forms of bias if not carefully constructed and monitored. The emphasis on skills-based assessment over traditional credentials could lead to a more meritocratic hiring environment, but it also necessitates robust oversight to ensure the algorithms are truly fair and do not disadvantage certain demographic groups. Furthermore, the collection and retention of applicant data, even with privacy assurances, contribute to the growing digital footprint of individuals, raising long-term privacy concerns and the need for clear regulatory frameworks governing AI in employment.
