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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

The purpose of this study is to make students understand the logic behind and implications of the “Socio-Technical Imbrication Framework” that can help them understand the importance of aligning workforce motivation and capabilities with the modern technology deployed in the organization. Moreover, students will understand the essentiality and criticality of customer satisfaction for the organization.

The technical services operations team at Cotton Web Limited formerly relied on JS Node, e-coordination system, to address customer complaints. There were many bugs in that system as it did not carry along the complaint tracking protocol, was slow in response, fundamentally structured upon manual complaint record keeping that resulted in piling up un-resolved complaints for a longer period of time. The team under the leadership of Mr. Hasan Ali, a competent expert working as GM Research and Data Analytics, undertook detailed analysis of recurring glitches in this system and replaced it with a novel Web-based automated complaint management system at Cotton Web Limited. This entire diagnosis and intervention process took almost three months till completion. The case is written for use in courses in the curriculum of BBA, BBIS, BSIT and BSCS programs at undergraduate level. It is most suitable for the courses in leadership, change management, business process reengineering, soft engineering, team building and business communication.

The case is suitable for teaching at Undergraduate level to the students of BBIS, BBA, BSCS and BSIT students in the last year of their degree programs. Teaching faculty can use case-based methodology for student learning by putting them into a real-life situation faced by an organization and letting them think critically and identify following points for further discussion and clarity: individual or in groups; problem identification through discussion; the stakeholders involved in the company’s situation through presentation or one-pager presentation; case analysis with reaching best solution to prevailing issue at hand through group discussion; reaching a decision or solution with reasonable logic and justification through group discussions; and create further dilemma on the basis of questions unanswered within this case story.

Teaching notes are available for educators only.

CSS 7: Management Science.