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After completion of the case study, students will be able to describe the crisis types and the various phases in mapping a crisis and outline appropriate actions during each phase; identify stakeholders in the context of change management initiatives and map them through their power, influence and interest needs; identify the needs and resistance present in change management initiatives through the systems-thinking perspective; recognize the leadership competencies for an effective crisis management approach; and identify the way to conduct challenging conversations with important stakeholders whose support and influence are required.

Stella Fernandez, the vice president of human resources management in a family-managed business organization, was disturbed by the media reports on rising number of cases of COVID-19 infection in India during the first week of March 2020. She thought that a continued rise in the number of infection cases could affect the business continuity as well as the safety of the employees. In her opinion, a faster introduction of a work-from-home policy could help to reduce the impact of the potential crisis. Fernandez understood that without the senior management team’s consent, she could not drive the information technology team to implement the work-from-home measure. However, she felt that there could be challenges in convincing the senior management team, who did not treat this outbreak to be of grave importance. Anticipating the unfavourable reaction, Fernandez planned her approach carefully by identifying and convincing influential members to support this change management initiative; nevertheless, to her dismay, her meticulous plan failed to convince the powerful members of the team, who continued to resist the change proposed by her. Disappointed and surprised by their reaction, Fernandez wondered what she could have done to make the senior management team to accept her proposal.

This case study is designed for use in undergraduate- or graduate-level programmes.

Teaching notes are available for educators only.

CSS 6: Human resource management.

This case is designed to enable students to understand the role of women in artificial intelligence (AI); understand the importance of ethics and diversity in the AI field; discuss the ethical issues of AI; study the implications of unethical AI; examine the dark side of corporate-backed AI research and the difficult relationship between corporate interests and AI ethics research; understand the role played by Gebru in promoting diversity and ethics in AI; and explore how Gebru can attract more women researchers in AI and lead the movement toward inclusive and equitable technology.

The case discusses how Timnit Gebru (She), a prominent AI researcher and former co-lead of the Ethical AI research team at Google, is leading the way in promoting diversity, inclusion and ethics in AI. Gebru, one of the most high-profile black women researchers, is an influential voice in the emerging field of ethical AI, which identifies issues based on bias, fairness, and responsibility. Gebru was fired from Google in December 2020 after the company asked her to retract a research paper she had co-authored about the pitfalls of large language models and embedded racial and gender bias in AI. While Google maintained that Gebru had resigned, she said she had been fired from her job after she had raised issues of discrimination in the workplace and drawn attention to bias in AI. In early December 2021, a year after being ousted from Google, Gebru launched an independent community-driven AI research organization called Distributed Artificial Intelligence Research (DAIR) to develop ethical AI, counter the influence of Big Tech in research and development of AI and increase the presence and inclusion of black researchers in the field of AI. The case discusses Gebru’s journey in creating DAIR, the goals of the organization and some of the challenges she could face along the way. As Gebru seeks to increase diversity in the field of AI and reduce the negative impacts of bias in the training data used in AI models, the challenges before her would be to develop a sustainable revenue model for DAIR, influence AI policies and practices inside Big Tech companies from the outside, inspire and encourage more women to enter the AI field and build a decentralized base of AI expertise.

This case is meant for MBA students.

Teaching Notes are available for educators only.

CCS 11: Strategy