Ethical Considerations with AI Technologies

International Journal of Innovative Research in Computer Science and Technology (IJIRCST), 2025

The emergence of new technologies similar as Artificial Intelligence[AI] has the implicit to disrupt sectors, diligence, governance, and day- to- day life conditioning. Rather than easing societal progress, the advancement of AI comes with increased innovative openings, challenges, and efficiencies to be employed. This systematic research is dedicated to the profound AI ethical dilemmas that touch every and, human values across society. This paper systematically reviews possible ethical dilemmas caused during the development and/or deployment of AI with respect to bias and fairness, transparency and explainability, accountability and responsibility, privacy and surveillance, and human autonomy. Using algorithm-based systems comes with the danger of “black box” opaque decision making. These gaps are particularly problematic in autonomous systems where the traditional concepts of legal and moral liability become incredibly difficult to assign which includes critical domains like healthcare and transportation. This paper analyzes the OECD [Organisation for Economic Co-operation and Development] AI Principles, EU (European Union) Ethics guidelines for trustworthy AI and also the uses of GDPR where AI Ethic Governance models of Right to Explanations.It critically analyzes the strengths and limitations of these approaches, relating significant gaps in perpetration, enforcement, and global adjustment. The exploration highlights the pressure between invention and regulation, demonstrating how current tone-nonsupervisory measures frequently fall suddenly of addressing systemic pitfalls.

SpringerBriefs in Research and Innovation Governance, 2021

This chapter discusses the ethical issues that are raised by the development, deployment and use of AI. It starts with a review of the (ethical) benefits of AI and then presents the findings of the SHERPA project, which used case studies and a Delphi study to identify what people perceived to be ethical issues. These are discussed using the categorisation of AI technologies introduced earlier. Detailed accounts are given of ethical issues arising from machine learning, from artificial general intelligence and from broader socio-technical systems that incorporate AI.

ResearchGate, 2025

Artificial Intelligence (AI) is transforming modern society, offering significant advancements while raising profound ethical concerns. This paper examines key ethical issues, including algorithmic bias, privacy violations, accountability in autonomous systems, and economic disruptions due to automation. By analysing existing literature, case studies, and regulatory frameworks, we highlight critical risks such as algorithmic discrimination, data exploitation, and the socioeconomic impact of AI-driven job displacement. Furthermore, global regulatory efforts, including the European Union's AI Act, the UK's AI Strategy, and the fragmented policies in the United States, are assessed. The study argues that mitigating AI's ethical risks requires transparent algorithms, interdisciplinary governance approaches, and proactive policy interventions. Future considerations include AI's role in warfare, misinformation, environmental sustainability, healthcare, and human rights.

Artificial intelligence (AI) is rapidly reshaping our world. As AI systems become increasingly autonomous and integrated into various sectors, fundamental ethical issues such as accountability, transparency, bias, and privacy are exacerbated or morph into new forms. This introduction provides an overview of the current ethical landscape of AI. It explores the pressing need to address biases in AI systems, protect individual privacy, ensure transparency and accountability, and manage the broader societal impacts of AI on labour markets, education, and social interactions. It also highlights the global nature of AI's challenges, such as its environmental impact and security risks, stressing the importance of international collaboration and culturally sensitive ethical guidelines. It then outlines three unprecedented challenges AI poses to copyright and intellectual property rights; individual autonomy through AI's "hypersuasion"; and our understanding of authenticity, originality, and creativity through the transformative impact of AI-generated content. The conclusion emphasises the importance of ongoing critical vigilance, imaginative conceptual design, and collaborative efforts between diverse stakeholders to deal with the ethical complexities of AI and shape a sustainable and socially preferable future. It underscores the crucial role of philosophy in identifying and analysing the most significant problems and designing convincing and feasible solutions, calling for a new, engaged, and constructive approach to philosophical inquiry in the digital age.

International Journal on Cybernetics & Informatics, 2023

This study is focused on the ethics of Artificial Intelligence and its application in the United States, the paper highlights the impact AI has in every sector of the US economy and multiple facets of the technological space and the resultant effect on entities spanning businesses, government, academia, and civil society. There is a need for ethical considerations as these entities are beginning to depend on AI for delivering various crucial tasks, which immensely influence their operations, decision-making, and interactions with each other. The adoption of ethical principles, guidelines, and standards of work is therefore required throughout the entire process of AI development, deployment, and usage to ensure responsible and ethical AI practices. Our discussion explores eleven fundamental 'ethical principles' structured as overarching themes.

Ethical Challenges of AI and Way Forward, 2024

This research tackles the multifaceted scenario of responsible Artificial Intelligence (AI) development, conducting an in-depth analysis of both legal frameworks, exemplified by the Algorithmic Accountability Act, and strategic frameworks, such as the Montreal Declaration. The examination focuses on critical issues including biased decision-making, transparency deficits, data privacy concerns, and job displacement, revealing notable advancements in the establishment of responsible AI principles. Based on these critical areas in the Artificial Intelligence, a number of Frameworks, Guidelines, Principles, Strategies, Policies and Drafts have been studied. Furthermore, critical analysis of Pakistan’s National Artificial Intelligence Policy Draft has also been made to add the national perspective on Artificial Intelligence. Based on the analysis, the study underscores substantial gaps and limitations in the translation of these principles into actionable solutions. It has also been found that most of the work is being performed in silos and not in an aggregated way which created a gap. Therefore, the research contends that collaborative endeavors and the implementation of effective measures are pivotal in addressing these gaps, offering the potential to harness AI for the collective benefit while concurrently mitigating risks. The envisioned outcome is a future where technology serves ethical and equitable objectives, emphasizing the significance of responsible AI development in the upcoming technological backdrop.

VDE / Bertelsmann Stiftung, 2020

Artificial intelligence (AI) increasingly pervades all areas of life. To seize the opportunities this technology offers society, while limiting its risks and ensuring citizen protection, different stakeholders have presented guidelines for AI ethics. Nearly all of them consider similar values to be crucial and a minimum requirement for “ethically sound” AI applications – including privacy, reliability and transparency. However, how organisations that develop and deploy AI systems should implement these precepts remains unclear. This lack of specific and verifiable principles endangers the effectiveness and enforceability of ethics guidelines. To bridge this gap, this paper proposes a framework specifically designed to bring ethical principles into actionable practice when designing, implementing and evaluating AI systems. List of Authors: Dr Sebastian Hallensleben Carla Hustedt Lajla Fetic Torsten Fleischer Paul Grünke Dr Thilo Hagendorff Marc Hauer Andreas Hauschke PD Dr Jessica Heesen Michael Herrmann Prof. Dr Rafaela Hillerbrand Prof. Emeritus Christoph Hubig Dr Andreas Kaminski Tobias Krafft Dr Wulf Loh Philipp Otto Michael Puntschuh

Frontiers in Psychology, 2023

Artificial intelligence (AI) advancements are changing people's lives in ways never imagined before. We argue that ethics used to be put in perspective by seeing technology as an instrument during the first machine age. However, the second machine age is already a reality, and the changes brought by AI are reshaping how people interact and flourish. That said, ethics must also be analyzed as a requirement in the content. To expose this argument, we bring three critical points-autonomy, right of explanation, and value alignment-to guide the debate of why ethics must be part of the systems, not just in the principles to guide the users. In the end, our discussion leads to a reflection on the redefinition of AI's moral agency. Our distinguishing argument is that ethical questioning must be solved only after giving AI moral agency, even if not at the same human level. For future research, we suggest appreciating new ways of seeing ethics and finding a place for machines, using the inputs of the models we have been using for centuries but adapting to the new reality of the coexistence of artificial intelligence and humans.

2023

Artificial Intelligence (AI) is a rapidly advancing technology that permeates human life at various levels. It evokes hopes for a better, easier, and more exciting life, while also instilling fears about the future without humans. AI has become part of our daily lives, supporting fields such as medicine, customer service, finance, and justice systems; providing entertainment, and driving innovation across diverse fields of knowledge. Some even argue that we have entered the “AI era.” However, AI is not solely a matter of technological progress. We already witness its positive and negative impact on individuals and societies. Hence, it is crucial to examine the primary challenges posed by AI, which is the subject of AI ethics. In this paper, I present the key challenges that emerged in the literature and require ethical reflection. These include the issues of data privacy and security, the problem of AI biases resulting from social, technical, or socio-technical factors, and the challenges associated with using AI for prediction of human behavior (particularly in the context of the justice system). I also discuss existing approaches to AI ethics within the framework of technological regulations and policymaking, presenting concrete ways in which ethics can be implemented in practice. Drawing on the functioning of other scientific and technological fields, such as gene editing, the development of automobile and aviation industries, I highlight the lessons we can learn from how they function to later apply it to how AI is introduced in societies. In the final part of the paper, I analyze two case studies to illustrate the ethical challenges related to recruitment algorithms and risk assessment tools in the criminal justice system. The objective of this work is to contribute to the sustainable development of AI by promoting human-centered, societal, and ethical approaches to its advancement. Such approach seeks to maximize the benefits derived from AI while simultaneously mitigating its diverse negative consequences.

Journal of Politics and Ethics in New Technologies and AI

This paper aims to provide a roadmap on the major ethical dilemmas behind the application of AI, hopefully initiating a fruitful discussion on this crucial matter that is at the forefront of scientific and global attention. To achieve this the main ethical dilemmas are identified by the most recent literature review, and then are briefly analysed to provide a holistic approach on the ethical issues that arise by the use of AI systems. Furthermore, the authors provide some best practices for dealing with the existing and future challenges of AI.