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The purpose of this study is to raise awareness about the ethical implications of artificial intelligence (AI) in the library and information industry, specifically focusing on bias and discrimination. It aims to highlight the need for proactive measures to mitigate these issues and ensure that AI technology is developed and implemented in an ethical and unbiased manner.

This viewpoint paper presents a critical analysis of the ethical implications of bias and discrimination in the library and information industry with respect to AI. It explores current practices and challenges in AI implementation and proposes strategies to address bias and discrimination in AI systems.

The findings of this study reveal that bias and discrimination are significant concerns in AI systems used in the library and information industry. These biases can perpetuate existing inequalities, hinder access to information and reinforce discriminatory practices. This study identifies key strategies such as data collection and representation, algorithmic transparency and inclusive design to address these issues.

This study contributes to the existing literature by examining the specific challenges of bias and discrimination in AI implementation within the library and information industry. It provides valuable insights into the ethical implications of AI technology and offers practical recommendations for professionals to confront and mitigate bias and discrimination in AI systems, ensuring equitable access to information for all users.

The purpose of this study is to investigate the phenomenon of defensive biasing in work stress surveys, which occurs when employees trivialize potential stressors and strains due to fear of negative consequences from their supervisors or management. This study aims to better understand the factors that influence this behavior and to develop a scale to measure it.

The study used an online survey of 200 employees to investigate the factors influencing defensive biasing behavior. The researchers developed a scale for defensive biasing with the help of subject matter experts and derived possible factors from the literature. Participants were presented with a hypothetical scenario in which they imagined a work stress survey in their organization and were asked to answer related items. The data were analyzed using regression analysis.

The study found that defensive biasing behavior was significantly predicted by perceived anonymity and neuroticism. Participants who felt less anonymous and had higher levels of neuroticism were more likely to engage in defensive biasing. Job insecurity and trust in supervisors were not found to be significant predictors of defensive biasing.

This study contributes to the literature on work stress surveys by developing a scale for defensive biasing and investigating the factors that influence this behavior. The study highlights the importance of making the survey process more transparent to reduce defensive biasing and obtain trustworthy results.

This paper aims to provide an elucidative and explanatory overview of decision-making theory that human resource management and development (HR) researchers and practitioners can use to explore the impact of heuristics and biases on organizational decisions, particularly within HR contexts.

This paper draws upon three theoretical resources anchored in decision-making research: the theory of bounded rationality, the heuristics and biases program, and cognitive-experiential self-theory (CEST). A selective narrative review approach was adopted to identify, translate, and contextualize research findings that provide immense applicability, connection, and significance to the field and study of HR.

The authors extract key insights from the theoretical resources surveyed and illustrate the linkages between HR and decision-making research, presenting a theoretical framework to guide future research endeavors.

Decades of decision-making research have been distilled into a digestible and accessible framework that offers both theoretical and practical implications.

Heuristics are mental shortcuts that facilitate quick decisions by simplifying complexity and reducing effort needed to solve problems. Heuristic strategies can yield favorable outcomes, especially amid time and information constraints. However, heuristics can also introduce systematic judgment errors known as biases. Biases are pervasive within organizational settings and can lead to disastrous decisions. This paper provides HR scholars and professionals with a balanced, nuanced, and integrative framework to better understand heuristics and biases and explore their organizational impact. To that end, a forward-looking and direction-setting research agenda is presented.

The global prevalence of social media and its potential to cause polarization are highly debated and impactful. The previous literature often assumes that the ideological bias of any media outlet remains static and exogenous to the polarization process. By studying polarization as a whole from an ecosystem approach, the authors aim to identify policies and strategies that can help mitigate the adverse effects of polarization and promote healthier online discourse.

To investigate online polarization, the authors perform a systematic review and analysis of approximately 400 research articles to explore the connection between cognitive bias and polarization, examining both causal and correlational evidence. The authors extensively evaluate and integrate existing research related to the correlation between online polarization and crucial factors such as public engagement, selective exposure and political democracy. From doing so, the authors then develop a PolarSphere ecosystem that captures and illustrates the process of online polarization formation.

The authors' review uncovers a wide range of associations, including ideological cognition, bias, public participation, misinformation and miscommunication, political democracy, echo chambers and selective exposure, heterogeneity and trust. Although the impact of bias on social media polarization depends on specific environments and internal/external conditions, certain variables exhibit strong associations across multiple contexts. The authors use these observations as a basis from which to construct PolarSphere, an ecosystem of bias-based polarization on social media, to theorize the process of polarization formation.

Based on the PolarSphere ecosystem, the authors argue that it is crucial for governments and civil societies to maintain vigilance and invest in further research to gain a deep comprehension of how cognitive bias affects online polarization, which could lead to ways to eliminate polarization.

Examines the relationship of individual demographic characteristics, work‐setting factors and work outcomes to perceived bias, both personally experienced and observed in organizational decision making. Data were collected from 829 women and 766 men employed in a single professional services firm using anonymously completed questionnaires. Although both women and men perceived bias, women reported significantly higher levels of both personally experienced and observed bias. Perceived bias was correlated with work settings and work outcomes similarly for women and men. Women and men experiencing and observing more bias, described the work setting as less favourable and were less satisfied, more likely to quit and saw the organization as less committed to fairness and due process. Draws implications for management and organizations.

Using a large‐scale database of a major business services company, self‐reported usage volume data were compared with actual usage volume. Several business‐related factors were then examined in relation to the survey response bias. Survey response bias was found to be lower for clients that use the services more extensively, had been in business for a longer period of time, and have smaller number of employees. Survey response bias was also found to be lower when the level of involvement with the service (lower level of management in this study) was greater. Such response bias information would be useful for managers when making sales forecasts or market share estimations using survey responses.

The purpose of this paper is to reveal perceptions of news organization bias among people who use the internet.

Data for this study were drawn from the Pew Research Center June 2005 News Interest Index. Respondents were asked if news organizations were politically biased in their reporting. Another question asked respondents if news organizations had a liberal or conservative bias. The final question asked respondents to judge news organization bias on political and social issues.

In two of the three perceptions of internet user/non‐user ratings of ideological bias in news organizations, internet news users surveyed rate news organizations as more biased than non‐users. However, when asked to ascertain either liberal or conservative bias in news organizations, non‐internet news users were more likely to claim that news organizations were biased.

More valid measures of the dimension of liberal and conservative bias could help in analyzing the effect of this particular variable on the use of the internet for news. Also, there is the possibility of some confusion in identifying internet news sources.

Advertising revenue of traditional media could decline as news use shifts to internet sources, and customers of the traditional US news networks would continue to migrate to the internet.

As this new media technology has the potential to reach new markets throughout the world, consumers who perceive that traditional news media are ideologically biased may favor the new medium over more traditional sources of news.

Unconscious biases are often ignored in organizations; thus, it becomes more important to identify them so that we can build strong and competent organizations. In present dynamic and competitive business situations, you need to be well aware about those concerns of the organizations where these biases exist.

This paper identifies various types of unconscious biases prevailing at workplace. It also identifies different strategies which can be used to avoid them so that we can gain a competitive edge over others in market.

Unconscious biases are a fact of life; no one can deny them. Thus, it is important to identify them so that they can be eliminated, and our businesses can avoid their detrimental effects.

Unconscious biases narrow down the pool of people in an organization and ultimately destabilize an organization’s base.

Unconscious biases narrow down the pool of people in the organization and ultimately destabilize an organization’s base.

This paper can help managers and executives to highlight the areas where these biases lie so that they can be removed easily.

Organizations are investing their resources to identify effective leaders; however, the most commonly utilized assessments of leadership potential do not cover the social cognitions of individuals. Trait assessments, which are explicit in nature, also have other problems, including faking and socially desirable responding. In this chapter, we highlight the importance of leaders' implicit reasoning processes, with a particular focus on cognitive biases, in an attempt to understand how destructive leaders frame the world, situations and people and how they justify their choice of behaviours and decisions. Empirical evidence in the literature supports the valid use of implicit reasoning measurements in organizational contexts. Thus, we first summarize and list the cognitive biases of destructive leaders as identified in the literature. We then turn our focus on Machiavellian leaders as they have been associated with destructive leadership. We present the most common six cognitive biases and justification mechanisms of Machiavellian leaders based on our qualitative analysis of interview responses from 72 employees. We aim to encourage researchers and practitioners to make use of the literature on implicit reasoning and to further contribute to developing measures assessing such implicit reasoning processes.

Purpose – The overall purpose of this chapter is to discuss what is known about serious forms of bias violence, obstacles to studying bias violence, and how alternative theoretical and methodological approaches can advance our understanding of bias violence in the twenty-first century.

Design/methodology/approach – Following a review of the literature, the applicability of identity fusion theory for explaining bias violence is considered and applied to the anti-racial mass shooting at an historically Black church in Charleston, South Carolina. Data come from an innovative open-source project known as the United States Extremist Crime Database.

Findings – Drawing from identity fusion theory, information from open-source data on the Charleston church shooting suggests that the perpetrator was a highly fused individual who perceived African Americans as a threat toward his social identity group and committed an act of extreme behavior (i.e., bias homicide) as a means for stabilizing his self-views.

Originality/value – This chapter builds upon prior studies of bias violence by demonstrating how (1) publicly available open sources (e.g., court documents and media reports) may be systematically compiled and used as reliable data for studying serious forms of bias violence, and (2) the use of social psychological theories, specifically identity fusion theory, can help to explain the role of personal and group identities in discriminatory violence.