...Abstract This chapter explores the critical roles of transparency and whistleblowing in the prevention of financial crime, emphasizing their significance in strengthening institutional integrity and public accountability. It begins by examining how transparency mechanisms—such as robust financial...

... increasing regulatory and transparency costs, and the access to market-based finance. Such a tradeoff is all the more evident for family-owned companies as legacy, family shared values, and generational renewal come into the equation. The same goes for public exposure arising from both issuer and controlling...

... systems rely heavily on large datasets, yet incomplete, inconsistent, or biased inputs can compromise the validity of generated insights. Furthermore, the opacity of machine-learning algorithms raises concerns about transparency, accountability, and trust, particularly when decisions affect strategic...

... AI into KM introduces complex ethical challenges, particularly concerning data privacy, algorithmic bias and transparency ( Meijer & Bekkers, 2015 ). Addressing these concerns is essential to ensure responsible and sustainable AI deployment. This chapter explores the ethical dimensions of AI...

...Despite its benefits, AI presents challenges. The high energy consumption of AI models raises environmental concerns particularly in large-scale machine learning applications. To align AI with ESG principles, responsible deployment must include transparent algorithms and accountability...

... two years, underscoring the rising importance of this approach ( Global Sustainable Investment Alliance (GSIA), 2020 ). 2. Sustainable Finance: Concepts and Importance Regarding governance, blockchain enhances transparency in corporate operations and decision-making processes. It provides a secure...

...Data analytics has become essential for enhancing environmental, social, and governance (ESG) reporting, allowing companies to better meet the increasing demands for transparency and sustainability. Data analytics provides the capability to monitor and report ESG metrics with accuracy and depth...

...XAI AI explainable artificial intelligence artificial intelligence transparency cybernetics 1. Introduction In the last 15 years, the field of AI has witnessed unparalleled advancements, particularly in DL algorithms and LLM ( Ahmed et al., 2023 ; Kasneci et al., 2023 ; Taye, 2023...

...Transparency in leadership within higher education is a key element that has a considerable influence on the quality of teaching and learning in institutions. Transparent leadership approaches improve decision-making processes and promote an open and inclusive organisational culture ( Fernandez...

... for developing ethical leaders through structured training, mentorship, and continuous education. By integrating ethical considerations into leadership practices, organizations can build a culture of integrity, transparency, and accountability. This chapter concludes by emphasizing the importance of proactive...

...Ethical AI workforce diversity talent acquisition bias detection transparency accountability 1. Introduction Diversity in the workplace refers to the similarities and differences among workers in terms of age, sexual orientation, gender, color, and religion...

..., highlighting the complexity of its environmental systems. (c) Ethical Dimensions by emphasising the need for transparency, fairness, and accountability in AI deployment, ensuring models serve public health without compromising ethical standards. (d) We explore how AI can align with responsible service...

... the contract, to measure social performance, to be more transparent, and to manage stakeholders; risk governance; and stakeholder orientation and expectation. Lack of such elements or just some could lead to unexpected results and therefore to the destruction of public value. This chapter focuses on the case...

... gaps in legislative frameworks. This chapter contributes valuable insights for researchers, practitioners and policymakers involved in AI development and regulation. Artificial Intelligence ethical implications legislative issues data protection privacy rights transparency bias Introduction...

... the demands of an interconnected, fast-paced world with confidence, resilience and ethical integrity. For leaders, assertiveness fuels sustainable strategies, cultivates ethical decision-making and fosters inclusive, transparent cultures that empower employees to innovate and excel. It is a powerful tool...

.... The image shows five labeled qualities of blockchain technology with brief descriptions of each. The distinct qualities of blockchain shown are decentralized, shared control, trusted exchange, security, and transparency. Each quality is accompanied by a description: decentralized notes no need...

... technology is still in its infancy and offers a host of advantages to businesses, including data security, disintermediation, data transparency, a single version of the truth, and mutual trust between trading partners. However, the adoption rate of blockchain technology inside enterprises has not increased...

... of ethics like those related to fairness, transparency and accountability, require a comprehensive and comparative scholarly analysis. On that consideration, this chapter, through a comparative analysis, highlights that Asian and European countries might benefit from the set of guidelines put together...

... intelligence legal framework transparency accountability privacy bias human rights Introduction The incorporation of artificial intelligence (AI) into security intelligence offers a game-changing rarity for both national and corporate security...

... countries legal responsibility government role transparency corporate social responsibility Introduction CSR is becoming a highly important concept on an international level. Throughout history, governments have been mainly liable for fulfilling the requirements of society ( Agudelo et al., 2019...