Algorithmic dilemmas : ethical decision-making in AI-driven recruitment at Unilever / Daniel Peat and Brian A. Kennedy.

Format:

Book

Author/Creator:

Peat, Daniel, author.

Kennedy, Brian A., author.

Series:

SAGE business cases.

SAGE business cases

Language:

English

Subjects (All):

Unilever (Firm)--Case studies.

Unilever (Firm).

Employees--Recruiting--Case studies.

Employees.

Decision making--Moral and ethical aspects--Case studies.

Decision making.

Artificial intelligence--Case studies.

Artificial intelligence.

Physical Description:

1 online resource : illustrations.

Other Title:

Ethical decision-making in artificial intelligence-driver recruitment at Unilever

Place of Publication:

London : SAGE Publications: SAGE Business Cases Originals, 2026.

Summary:

This case explores Unilever's innovative use of artificial intelligence (AI)-driven recruitment, which began in 2016 as part of its Future of Work initiative. While these technologies offered significant benefits, they also introduced ethical challenges, including algorithmic bias, lack of transparency, privacy concerns, and overreliance on technology. Students will analyze these challenges using a Decision Support Systems (DSS) theory lens in professional hiring. Through the case, students will be asked to develop practical strategies to mitigate risks and promote responsible AI use in recruitment, while considering the broader organizational and societal implications.

Notes:

Description based on XML content.

ISBN:

1-0719-3614-X

9781071936146

OCLC:

1569209097

Publisher Number:

T298344