Yuni Wen and Matthias Holweg conduct a philosophical analysis of the responses of four prominent technology firms to the ethical concerns surrounding the use and development of facial recognition technology. The article meticulously delves into the controversies surrounding Amazon, IBM, Microsoft, and Google, as they grapple with public backlash and stakeholder disapproval. By analyzing these cases, the authors elucidate four distinct strategies that these organizations employ to mitigate potential reputation loss: deflection, improvement, validation, and pre-emption. They astutely highlight the spectrum of these responses, ranging from the most accommodative to the most defensive approach.
The authors propose three possible antecedents that may determine an organization’s response strategy to controversial AI technology: the financial importance of the technology to the company, the strategic importance of the technology to the company’s product and service offerings, and the degree to which the controversial technology violates the company’s stated public values. Through their examination of the facial recognition controversies and the strategies employed by the tech giants, they provide invaluable insights into how these factors contribute to shaping the responses of companies facing ethical dilemmas in AI technology.
Although the article’s primary focus is on large technology firms, it acknowledges the limitations of its analysis and encourages further research on small and medium-sized firms, non-profit organizations, public sector organizations, and other entities that may intentionally misuse AI for nefarious purposes. It also highlights the need for future research to consider the interplay between organizational strategies and the varying global regulatory landscape concerning AI technology, given the diverse policy initiatives and regional differences.
The article not only contributes to the ongoing discourse about AI ethics but also resonates with broader philosophical debates on corporate social responsibility and the role of organizations in shaping a just and equitable society. In an era of unprecedented technological advances and heightened awareness of ethical concerns, this research raises pertinent questions about the duties and responsibilities that companies bear in addressing the potential social and moral implications of their products and services. It underscores the challenge that organizations face in balancing financial interests and strategic goals with ethical imperatives and societal expectations.
To enrich our understanding of the complex interplay between organizations and AI ethics, future research could explore the processes through which companies develop and implement their response strategies, with an emphasis on the role of leadership, organizational culture, and internal and external stakeholder dynamics. Moreover, investigating how these strategies evolve over time and assessing their effectiveness in addressing public concerns could provide valuable insights into best practices for organizations navigating the ethical minefield of AI technology. Ultimately, this line of inquiry would contribute significantly to our understanding of how corporations can foster the responsible development and use of AI, ensuring that its potential benefits are realized while mitigating its ethical risks.
Abstract
As more and more companies adopt artificial intelligence to increase the efficiency and effectiveness of their products and services, they expose themselves to ethical crises and potentially damaging public controversy associated with its use. Despite the prevalence of AI ethical problems, most companies are strategically unprepared to respond effectively to the public. This paper aims to advance our empirical understanding of company responses to AI ethical crises by focusing on the rise and fall of facial recognition technology. Specifically, through a comparative case study of how four big technology companies responded to public outcry over their facial recognition programs, we not only demonstrated the unfolding and consequences of public controversies over this new technology, but also identified and described four major types of company responses—Deflection, Improvement, Validation, and Pre-emption. These findings pave the way for future research on the management of controversial technology and the ethics of AI.
A phenomenological perspective on AI ethical failures: The case of facial recognition technology