Understanding and Mitigating Authority Bias in Business and Beyond

Understanding and Mitigating Authority Bias in Business and Beyond

DOI: 10.4018/979-8-3693-1766-2.ch004
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Abstract

The need for authority in society persists, with individuals expected to follow instructions unless in absolute isolation. Epistemic authorities, perceived as having valid knowledge in specific fields, guide peoples' understanding of the world. This includes leaders, experts, and even automated systems, all of whom can influence attitudes and actions. However, blind obedience to authority has detrimental consequences, referred to as “authority bias.” This bias leads people to reflexively follow perceived legitimate authorities, impacting law enforcement, policymaking, business, marketing, and consumer behaviour. It can be triggered by symbols of authority, compelling storytelling, and charismatic figures. Today, it extends to non-human entities such as algorithms and robots, raising questions about their role in decision-making. Mitigation strategies include introducing conflicting authorities and empowering junior employees to challenge opinions with data.
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“When you think of man's long and gloomy history, you will find more hideous crimes have been committed in the name of obedience than have ever been committed in the name of rebellion.”

C. P. Snow (as cited in Milgram 1973)

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Introduction

In today's complex world, it's common to seek guidance and expertise from trusted sources to make sound decisions. However, our reliance on individuals or systems perceived as possessing authority or knowledge can lead to authority bias. While this bias can sometimes be helpful, it can also result in less-than-optimal outcomes. It's crucial to understand the origins and implications of authority bias to navigate decision-making processes in a world where information and influence come from multiple sources, including human experts and advanced AI systems. In this exploration, we delve into the manifestations of authority bias in various settings and share strategies to mitigate its impact. Additionally, we examine the emerging phenomenon of automation bias, where trust and authority extend to intelligent machines and autonomous systems, offering insight into the evolving landscape of decision-making in the digital age.

Some system of authority is a necessity of social life; the individual is expected not to defy or ignore the commands of others unless they live in absolute isolation (Milgram, 1963; Milgram, 1973). Over the centuries, this simple notion remained intact, while the authority figures differed; tribe leaders, presidents, army commanders, doctors, professors, financial advisors, parents, influencers, robots, search engines and even artificial intelligence (AI) systems have enjoyed the power to manipulate people's attitudes and actions. The increasing specialisation intensifies the deferral to experts even in the most mundane habits of daily routine (Pierson, 1994). One of the most famous and essential analyses of the authority of experts is Max Weber's theory of bureaucracy (Stehr, 1992). Weber begins his classification of authority with the question of why people obey. He states that the answer lies in the attributed (by recipients) legitimacy of the source that gives orders/directives. According to Weber (2017), authority – which differs from habit by being rational in terms of purpose – is the possibility of a particular group of individuals to comply with orders of a specific source, and this compliance/obedience is a voluntary action because coercive authority is limited only to the slavery. Brodeur (2004) argues that specific competence and knowledge are needed to have a recognised authority in a field. Kurz-Milcke (2004) similarly regards experts as having authority because of their knowledge, skills, and professional competence. Cialdini and Rhoads (2001) also consider legitimate authorities, who derive their influence from education, talent or experience, as instrumental sources, as people turn to their authorities for information and guidance.

Consequently, we train our descendants to obey the proper authority and make them adopt the notion that submission and loyalty to the legitimate rule are essential (Cialdini, 2007); however, whether it is always advantageous to comply with the authority and, if so, when is still being debated because blind submission and loyalty to authorities may have some unwarranted consequences like authority bias.

Key Terms in this Chapter

Autonomous Systems: Entities or devices that can carry out tasks, make decisions, and take actions without human intervention.

Epistemic Authority: The recognition of a source – human or an advanced technology – as trustworthy and knowledgeable within a particular domain of expertise.

Automation Bias: Tendency to assume automation is infallible and superior to human judgment.

Anthropomorphism: A cognitive bias which is the inclination of ascribing human traits, feelings, motives, or actions to entities, objects, or creatures that are not human.

Authority Bias: The predisposition to abide by the tenets of perceived epistemic authorities of either human or post-human beings.

HiPPO Phenomenon: The acronym refers to the idea that the opinions or viewpoints of the highest-paid or most senior individual in a group can heavily influence decision-making, even if their input is not based on data or expertise.

Post-Human Leaders: Either individuals who have integrated technology into their work and decision-making processes or the automated systems that offer suggestions to humans in their decision-making.

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