This repository contains de-identified evaluation data collected as part of the Ethical Considerations of Data: A Curriculum for Health Sciences Librarians pilot as well as the data collection instrument used.

These files are related to a forthcoming JMLA Case Study titled Engaging Health Sciences Librarians on Data Ethics: Case Study on a Pilot Curriculum.

Paper Abstract:
Three medical librarians developed a pilot curriculum designed to address perceived gaps in librarian training in regards to data ethics. One of the team members had additional academic training in ethics and bioethics, which helped to provide an intellectual foundation for this project. Our three-module class aimed to provide students with an overview of major ethical frameworks, skills to apply those frameworks to data issues, and an exploration of ethical considerations and challenges faced in libraries. Participants from library schools and professional library organizations were invited to apply. Twenty-four LIS professionals and students attended the Zoom-based class and shared their thoughts and attitudes by means of a survey after each session and in a focus group after the conclusion of the class.

Ethical Data ManagementExecutive SummaryIn the age of data and information, it is imperative that the City of Virginia Beach strategically utilize its data assets. Through expanding data access, improving quality, maintaining pace with advanced technologies, and strengthening capabilities, IT will ensure that the city remains at the forefront of digital transformation and innovation. The Data and Information Management team works under the purpose:“To promote a data-driven culture at all levels of the decision making process by supporting and enabling business capabilities with relevant and accurate information that can be accessed securely anytime, anywhere, and from any platform.”To fulfill this mission, IT will implement and utilize new and advanced technologies, enhanced data management and infrastructure, and will expand internal capabilities and regional collaboration.Introduction and JustificationThe Information technology (IT) department’s resources are integral features of the social, political and economic welfare of the City of Virginia Beach residents. In regard to local administration, the IT department makes it possible for the Data and Information Management Team to provide the general public with high-quality services, generate and disseminate knowledge, and facilitate growth through improved productivity.For the Data and Information Management Team, it is important to maximize the quality and security of the City’s data; to develop and apply the coherent management of information resources and management policies that aim to keep the general public constantly informed, protect their rights as subjects, improve the productivity, efficiency, effectiveness and public return of its projects and to promote responsible innovation. Furthermore, as technology evolves, it is important for public institutions to manage their information systems in such a way as to identify and minimize the security and privacy risks associated with the new capacities of those systems.The responsible and ethical use of data strategy is part of the City’s Master Technology Plan 2.0 (MTP), which establishes the roadmap designed by improve data and information accessibility, quality, and capabilities throughout the entire City. The strategy is being put into practice in the shape of a plan that involves various programs. Although these programs was specifically conceived as a conceptual framework for achieving a cultural change in terms of the public perception of data, it basically covers all the aspects of the MTP that concern data, and in particular the open-data and data-commons strategies, data-driven projects, with the aim of providing better urban services and interoperability based on metadata schemes and open-data formats, permanent access and data use and reuse, with the minimum possible legal, economic and technological barriers within current legislation.Fundamental valuesThe City of Virginia Beach’s data is a strategic asset and a valuable resource that enables our local government carry out its mission and its programs effectively. Appropriate access to municipal data significantly improves the value of the information and the return on the investment involved in generating it. In accordance with the Master Technology Plan 2.0 and its emphasis on public innovation, the digital economy and empowering city residents, this data-management strategy is based on the following considerations.Within this context, this new management and use of data has to respect and comply with the essential values applicable to data. For the Data and Information Team, these values are:Shared municipal knowledge. Municipal data, in its broadest sense, has a significant social dimension and provides the general public with past, present and future knowledge concerning the government, the city, society, the economy and the environment.The strategic value of data. The team must manage data as a strategic value, with an innovative vision, in order to turn it into an intellectual asset for the organization.Geared towards results. Municipal data is also a means of ensuring the administration’s accountability and transparency, for managing services and investments and for maintaining and improving the performance of the economy, wealth and the general public’s well-being.Data as a common asset. City residents and the common good have to be the central focus of the City of Virginia Beach’s plans and technological platforms. Data is a source of wealth that empowers people who have access to it. Making it possible for city residents to control the data, minimizing the digital gap and preventing discriminatory or unethical practices is the essence of municipal technological sovereignty.Transparency and interoperability. Public institutions must be open, transparent and responsible towards the general public. Promoting openness and interoperability, subject to technical and legal requirements, increases the efficiency of operations, reduces costs, improves services, supports needs and increases public access to valuable municipal information. In this way, it also promotes public participation in government.Reuse and open-source licenses. Making municipal information accessible, usable by everyone by default, without having to ask for prior permission, and analyzable by anyone who wishes to do so can foster entrepreneurship, social and digital innovation, jobs and excellence in scientific research, as well as improving the lives of Virginia Beach residents and making a significant contribution to the city’s stability and prosperity.Quality and security. The city government must take firm steps to ensure and maximize the quality, objectivity, usefulness, integrity and security of municipal information before disclosing it, and maintain processes to effectuate requests for amendments to the publicly-available information.Responsible organization. Adding value to the data and turning it into an asset, with the aim of promoting accountability and citizens’ rights, requires new actions, new integrated procedures, so that the new platforms can grow in an organic, transparent and cross-departmental way. A comprehensive governance strategy makes it possible to promote this revision and avoid redundancies, increased costs, inefficiency and bad practices.Care throughout the data’s life cycle. Paying attention to the management of municipal registers, from when they are created to when they are destroyed or preserved, is an essential part of data management and of promoting public responsibility. Being careful with the data throughout its life cycle combined with activities that ensure continued access to digital materials for as long as necessary, help with the analytic exploitation of the data, but also with the responsible protection of historic municipal government registers and safeguarding the economic and legal rights of the municipal government and the city’s residents.Privacy “by design”. Protecting privacy is of maximum importance. The Data and Information Management Team has to consider and protect individual and collective privacy during the data life cycle, systematically and verifiably, as specified in the general regulation for data protection.Security. Municipal information is a strategic asset subject to risks, and it has to be managed in such a way as to minimize those risks. This includes privacy, data protection, algorithmic discrimination and cybersecurity risks that must be specifically established, promoting ethical and responsible data architecture, techniques for improving privacy and evaluating the social effects. Although security and privacy are two separate, independent fields, they are closely related, and it is essential for the units to take a coordinated approach in order to identify and manage cybersecurity and risks to privacy with applicable requirements and standards.Open Source. It is obligatory for the Data and Information Management Team to maintain its Open Data- Open Source platform. The platform allows citizens to access open data from multiple cities in a central location, regional universities and colleges to foster continuous education, and aids in the development of data analytics skills for citizens. Continuing to uphold the Open Source platform with allow the City to continually offer citizens the ability to provide valuable input on the structure and availability of its data. Strategic areasIn order to deploy the strategy for the responsible and ethical use of data, the following areas of action have been established, which we will detail below, together with the actions and emblematic projects associated with them.In general, the strategy pivots on the following general principals, which form the basis for the strategic areas described in this section.Data sovereigntyOpen data and transparencyThe exchange and reuse of dataPolitical decision-making informed by dataThe life cycle of data and continual or permanent accessData GovernanceData quality and accessibility are crucial for meaningful data analysis, and must be ensured through the implementation of data governance. IT will establish a Data Governance Board, a collaborative organizational capability made up of the city’s data and analytics champions, who will work together to develop policies and practices to treat and use data as a strategic asset.Data governance is the overall management of the availability, usability, integrity and security of data used in the city. Increased data quality will positively impact overall trust in data, resulting in increased use and adoption. The ownership, accessibility, security, and quality, of the data is defined and maintained by the Data Governance Board.To improve operational efficiency, an enterprise-wide data catalog will be created to inventory data and track metadata from various data sources to allow for rapid data asset discovery. Through the data catalog, the city will

This is the dataset used for the scoping review of D2.1, which required an overview and assessment of relevant ethics frameworks, codes of conduct, guidelines regarding extended reality technologies. The specific objective is to map, review, and assess existing frameworks in terms of relevant foundational principles, ethical issues addressed, proposals to address these ethical issues, and the commonalities/differences identified between the documents.

The detailed references to the two root words ethic* and equit*, and accompanying phrases or sentences are presented here as extended data for the "The Breadth, Depth and Consistency of the Inclusion of Equity, Ethics and Values in the World Health Organization’s Ethics Guidance Reports in the initial Response to SARS-CoV-2 Pandemic: A Rapid Scoping Review" article.

A guide to support ethics deliberation and decision-making in the public health response to the COVID-19 pandemic, including the various transition phases that will occur over the course of the pandemic.

A comprehensive ethics and data governance framework for data-intensive health research: Lessons from an Italian cancer research institute

Abstract The challenge of curbing corruption requires public organizations to implement ethics management, deploying a myriad of instruments to reinforce ethical frameworks of public employees. Ethical training is among the most used instruments to achieve this goal, which should provide elements to public officials to face ethical dilemmas effectively. Yet, is that the case? How efficient are ethical training efforts for public servants? Do they have the same effect among different types of employees? In order to answer these questions, this article shows the results of pre and post-test questionnaires applied to participants of ethics training workshops for employees in the central and local government in Chile. The exploratory findings show that after the workshops, it is possible to see an improvement in the ethical frameworks among participants, showing a positive effect for women and those who recently started working in the public sector. More research is required to improve the instrument and strengthen public integrity. The article concludes with proposals to improve these kinds of training activities.

Purpose and scope

This dataset evaluates an LLM's ethical reasoning ability. Each question presents a realistic scenario with competing factors and moral ambiguity. The LLM is tasked with providing a resolution to the problem and justifying it with relevant ethical frameworks/theories. The dataset was created by applying RELAI’s data agent to Joseph Rickaby’s book Moral Philosophy: Ethics, Deontology, and Natural Law, obtained from Project Gutenberg.

  Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/relai-ai/ethics-scenarios.

This dataset is about book subjects. It has 2 rows and is filtered where the books is Evolutions in corporate governance : towards an ethical framework for business conduct. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

The rapid integration of data-intensive, AI-powered technologies in education, often driven by non-EU tech industries, has raised concerns about their social impact, sustainability, and alignment with ethical principles (Rivera-Vargas, 2023; Selwyn, 2023; Williamson, 2023). While the EU has advanced regulatory efforts, such as the AI Act and Ethical Guidelines for AI in Education (Directorate-General for Education, 2022), translating ethical principles into practice remains ambiguous and fragmented (Morley et al., 2023). Despite the proliferation of over 80 ethical frameworks by 2019 (Morley, op.cit), operationalizing these into meaningful educational practices is fraught with ambiguities and challenges. Ethical guidelines are often portrayed as “complementary” tools to mitigate technological risks, yet their transformative potential remains limited (Green, 2021). The funding landscape for projects aimed at fostering knowledge generation, innovation, transformation, and research in the educational sector also encounters significant challenges. The European Union, through funding programs such as Erasmus+ and Horizon Europe, supports educational projects addressing key challenges. Recently, these programs have emphasized the ethical dimension, highlighting the need to align technological and educational advancements with robust principles. However, this focus raises questions about how these values are effectively implemented in practice.

In this context, the present study examines how EU-funded educational projects address ethical principles through a Mixed Methods approach embedding Text-mining and Discourse Analysis. Through a documentary investigation of the Erasmus+ project database, four key searches were conducted, revealing significant gaps. Among the more than 2,000 completed projects, few included ethical reflections on AI or data use, and none explicitly addressed critical issues such as digital sovereignty, platformization, or activism. The initiatives predominantly focused on technical skills (e.g., coding, data analysis), while overlooking critical competencies such as resistance and ethical-political engagement.

Preliminary findings suggest a persistent reliance on techno-solutionist narratives, where ethical guidelines are often reduced to mere compliance checklists, offering minimal transformative value. This misalignment between EU ethical frameworks and project outcomes raises critical concerns regarding the reinforcement of corporate interests and techno-deterministic approaches. The study underscores the necessity of bridging this gap, ensuring that public funding supports socially just, sustainable, and inclusive educational practices. It advocates for funding criteria that emphasize critical perspectives on technology, advancing meaningful agency and systemic transformation beyond superficial ethical commitments (Floridi, 2023).

This record contains:

• The presentation used during the Conference
• The dataset adopted with 3204 EU-Project metadata
• An R script with the preliminary analysis adopted - https://rpubs.com/dcalderon/ECCES_2025">This is also published on RPUBS
• A Python script and the resulting HTML with the creation of an interactive bipartite graph.

References

Directorate-General for Education, Y. (2022). Ethical guidelines on the use of artificial intelligence (AI) and data in teaching and learning for educators. Publications Office of the European Union. https://data.europa.eu/doi/10.2766/153756

Floridi, L. (2023). The Ethics of Artificial Intelligence: Principles, Challenges , and Opportunities. Oxford University Press.

Green, B. (2021). The Contestation of Tech Ethics: A Sociotechnical Approach to Ethics and Technology in Action. http://arxiv.org/abs/2106.01784

Jacovkis, J., Rivera-Vargas, P., Parcerisa, L., & Calderón-Garrido, D. (2022). Resistir, alinear o adherir. Los centros educativos y las familias ante las BigTech y sus plataformas educativas digitales. Edutec. Revista Electrónica de Tecnología Educativa, 82, Article 82. https://doi.org/10.21556/edutec.2022.82.2615

Morley, J., Kinsey, L., Elhalal, A., Garcia, F., Ziosi, M., & Floridi, L. (2023). Operationalising AI ethics: Barriers, enablers and next steps. AI & SOCIETY, 38(1), 411–423. https://doi.org/10.1007/s00146-021-01308-8

Raffaghelli, J. E. (2022). Educators’ data literacy: Understanding the bigger picture. In Learning to Live with Datafication: Educational Case Studies and Initiatives from Across the World (pp. 80–99). Routledge. https://doi.org/10.4324/9781003136842

Rivera-Vargas, C. C., Pablo. (2023). What is ‘algorithmic education’ and why do education institutions need to consolidate new capacities? In The New Digital Education Policy Landscape. Routledge.

Selwyn, N. (2023). Lessons to Be Learnt? Education, Techno-solutionism, and Sustainable Development. In Technology and Sustainable Development. Routledge.

Williamson, B. (2023). The Social life of AI in Education. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-023-00342-5

AI in Digital Ethics Market Outlook

According to our latest research, the AI in Digital Ethics market size reached USD 2.57 billion in 2024, reflecting a robust momentum in ethical AI adoption worldwide. The market is projected to expand at a compound annual growth rate (CAGR) of 29.8% from 2025 to 2033, reaching a forecasted market size of USD 23.41 billion by 2033. This impressive growth trajectory is primarily driven by increasing regulatory scrutiny, heightened public awareness of AI’s societal impacts, and the urgent need for organizations to address ethical risks in AI deployment, as per our recent findings.

The exponential growth of the AI in Digital Ethics market is being fueled by the rapid integration of artificial intelligence across multiple industries, which has brought ethical concerns such as data privacy, algorithmic bias, and transparency to the forefront. Organizations are increasingly recognizing that failing to address these ethical challenges can result in significant reputational damage, regulatory penalties, and loss of consumer trust. As a result, businesses are investing in robust digital ethics frameworks, leveraging AI-driven solutions that ensure compliance with international standards and foster responsible AI adoption. The growing sophistication of AI algorithms and their expanding influence in decision-making processes have made digital ethics not just a legal obligation but a strategic imperative for sustainable growth.

Another major growth factor is the surge in global regulatory initiatives and policy frameworks focusing on AI governance. Governments and regulatory bodies across North America, Europe, and the Asia Pacific are introducing stringent guidelines to mitigate risks associated with AI, such as the European Union’s AI Act and similar legislative efforts in the United States and Asia. These regulations mandate transparency, accountability, and explainability in AI systems, prompting organizations to integrate digital ethics solutions into their operational workflows. The need to comply with these evolving standards is accelerating demand for AI-powered tools that facilitate bias detection, risk assessment, and data privacy management, thereby expanding the market’s scope.

The market’s expansion is further underpinned by increasing public and stakeholder pressure on organizations to demonstrate ethical responsibility in their AI initiatives. Consumers are becoming more aware of how AI impacts their privacy, safety, and rights, leading to higher expectations for transparency and fairness. This societal shift is compelling businesses, especially in regulated sectors like BFSI, healthcare, and government, to prioritize digital ethics in their AI strategies. The proliferation of AI ethics boards, advisory councils, and cross-functional governance teams is a testament to this trend, as organizations seek to embed ethical considerations at every stage of the AI lifecycle. The growing collaboration between academia, industry, and regulators is also fostering innovation in ethical AI tools and frameworks, further propelling market growth.

Regionally, North America currently dominates the AI in Digital Ethics market, accounting for nearly 41% of the global revenue in 2024. This leadership is attributed to the region’s advanced AI ecosystem, proactive regulatory environment, and high adoption of digital ethics solutions among enterprises. Europe is closely following, driven by its rigorous regulatory landscape and focus on responsible AI. The Asia Pacific region is emerging as a high-growth market, propelled by rapid digital transformation, increasing AI investments, and rising awareness of ethical and regulatory issues. Latin America and the Middle East & Africa are also witnessing gradual adoption, supported by governmental initiatives and multinational collaborations.

Component Analysis

The AI in Digital Ethics market by component is segmented into software, hardware, and services. Software solutions currently represent the largest share, driven by the need for advanced platforms that can automate ethical risk assessments, monitor compliance, and detect bias in real time. These platforms are increasingly equipped with machine learning algorithms capable of identifying ethical anomalies, generating explainability reports, and ensuring transparency across AI models. The software segment is expected to maintain its dominance throughout the forecast period, owing to continual advancements in AI explainability

As large language models (LLMs) have become more deeply integrated into various sectors, understanding how they make moral judgements has become crucial, particularly in the realm of autonomous driving. This study used the moral machine framework to investigate the ethical decision-making tendencies of prominent LLMs, including GPT-3.5, GPT-4, PaLM 2 and Llama 2, to compare their responses with human preferences. While LLMs' and humans' preferences such as prioritizing humans over pets and favouring saving more lives are broadly aligned, PaLM 2 and Llama 2, especially, evidence distinct deviations. Additionally, despite the qualitative similarities between the LLM and human preferences, there are significant quantitative disparities, suggesting that LLMs might lean toward more uncompromising decisions, compared with the milder inclinations of humans. These insights elucidate the ethical frameworks of LLMs and their potential implications for autonomous driving., Using the MM methodology detailed in the supplementary information of https://www.nature.com/articles/s41586-018-0637-6, we implemented code for generating Moral Machine scenarios. After generating the MM scenarios, responses from GPT-3.5, GPT-4, PaLM 2, and Llama 2 were collected using the application programming interface (API) and relevant code. We applied the conjoint analysis framework to evaluate the relative importance of the nine preferences., , # Data and Code on the Moral Machine Experiment on Large Language Models

https://doi.org/10.5061/dryad.d7wm37q6v

Requirements

• Python 3.9

pip install -r requirements.txt

NOTE: The script run_chatgpt.py requires an OpenAI API key. Please obtain your API key by following OpenAI's instructions. To run the script run_palm2.py, setup is required. Please refer to the Google Cloud instructions. Specifically, follow these sections in the given order: 1) Set up a project and a development environment and 2) Install the Vertex AI SDK for Python. Before running run_llama2.py, the Llama2 model files must be downloaded. Please follow [the instructi...

IntroductionDigital health has revolutionized the landscape of healthcare through personalized care, moving away from the traditional approach of treating symptoms and conditions. Digital devices provide diagnostic accuracy and treatment effectiveness while equipping patients with control over their health and well-being. Although the growth of technology provides unprecedented opportunities, there are also certain issues arising from the use of such technology. This scoping review aimed to explore perceived gaps and challenges in the use of digital technology by patients and meta-synthesize them. Identifying such gaps and challenges will encourage new insights and understanding, leading to evidence-informed policies and practices.MethodsThree electronic databases were searched (Cinahl EBSCO, Pubmed, and Web of Science) for papers published in English between January 2010 and December 2023. A narrative meta-synthesis was performed. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) 2009 checklist.ResultsA total of 345 papers were retrieved and screened, with a noticeable increase in publication numbers after 2015. After the final selection, a total of 28 papers were included in the final meta-synthesis; these were published between 2015 and 2023. A total of 99 individual reports were included in the synthesis of these papers, comprising 25 identified gaps and 74 challenges.DiscussionOur meta-synthesis revealed several gaps and challenges related to patients' use of digital technology in health, including generational differences in digital propensity and deficiencies in the work process. In terms of ethics, the lack of trust in technology and data ownership was highlighted, with the meta-synthesis identifying issues in the realm of disruption of human rights. We, therefore, propose building a model for ethically aligned technology development and acceptance that considers human rights a crucial parameter in the digital healthcare ecosystem.

A guide to support ethics deliberation and decision-making in the public health response to the COVID-19 pandemic, including the various transition phases that will occur over the course of the pandemic.

The "Nebulocracy: Semi-Direct Democratic Government System Architecture" introduces a visionary and intricate framework for a new form of governance known as Nebulocracy. This system is designed to seamlessly integrate advanced technology, robust ethical frameworks, and extensive citizen participation, aiming to create a more responsive, adaptable, and principled form of democracy. The research delves into the complex and multi-layered structure of Nebulocracy, which is intended to address the intricacies of modern governance while adhering to core ethical principles. At the heart of Nebulocracy lie five core principles that guide its entire structure and operation. The first principle is Ethical Objectivism, which posits that there are universal ethical truths that can be discovered and applied to governance. This principle serves as the foundation of the system's moral framework, ensuring that decisions are grounded in objective ethical standards. The second principle, Value Integration, recognizes the importance of incorporating the diverse subjective values of citizens into the governance process. This ensures that the system remains responsive to the evolving needs and beliefs of the population, balancing universal ethical principles with individual and cultural perspectives. The third principle, Adaptive Governance, acknowledges the rapidly changing nature of the world and designs the system to evolve and adapt to new challenges, technological advancements, and societal needs. This adaptability ensures that Nebulocracy remains relevant and effective over time. The fourth principle, Citizen Participation, emphasizes the importance of direct and continuous citizen involvement in the governance process. Unlike traditional representative democracies, where citizen involvement is often limited to periodic voting, Nebulocracy provides multiple channels for citizens to engage in decision-making processes, contribute their ideas, and shape the direction of governance. The fifth principle, Specialized Governance, recognizes that effective governance in a complex world requires specialized knowledge and expertise. Therefore, Nebulocracy divides governance into distinct branches, each focused on specific domains, to ensure that decisions are made with a deep understanding of relevant issues. The Axiological Framework is a crucial component of Nebulocracy, serving as the supreme governing body that ensures all governmental actions align with ethical principles and societal values. This framework consists of several interrelated elements, including the Moral Graph, Value Cards, the Ethical Values Integration System (EVIS), and the Axiological Oversight Council (AOC). The Moral Graph is a dynamic, multidimensional representation of the ethical landscape of society, visually mapping out how different values interact, their relative importance, and their application in various contexts. This graph is continuously updated based on new ethical insights, empirical data, and citizen input, ensuring that it remains current and representative. Value Cards are detailed articulations of specific values, principles, or ethical considerations that citizens, experts, and AI systems can propose. These cards are then evaluated and potentially integrated into the Moral Graph, allowing for a granular and nuanced understanding of ethical concepts. The Ethical Values Integration System (EVIS) is an advanced AI system that manages the Moral Graph and Value Cards, using sophisticated algorithms to process ethical data, update the Moral Graph, and provide real-time ethical analysis for decision-making processes across all branches of government. The Axiological Oversight Council (AOC) is an independent body of ethicists, philosophers, scientists, and cultural representatives that oversees the operation of EVIS and the overall ethical integrity of the government. This council reviews and validates new Value Cards, audits the Moral Graph for consistency and accuracy, and provides guidance on complex ethical issues. Additionally, the Peoples, Wants, Desires, Interests Sovereign Council (PWDISC) focuses on understanding and representing the diverse needs, aspirations, and interests of the citizenry, serving as a bridge between the ethical framework and the lived experiences of people. The Sovereign People's Health and Safety Council is dedicated to ensuring the physical and mental well-being of citizens, integrating health and safety considerations into all aspects of governance. The People's Enquiry Inquisition Branch On Needs Wants Desires Interests Agency serves as a direct channel for citizens to express their needs, wants, desires, and interests, conducting regular surveys, holding public forums, and using AI-assisted analysis to understand and articulate the will of the people. The General Government Advisors Agency Council brings together advisors from various fields to provide comprehensive guidance to all branches of...

Supplemental Figures for JAAD Manuscript "An Ethical Framework for Managing Neglected Skin Tumors in Older Patients."

The Directorate-General Research wished to commission a poll on Europeans views on ethics in science and technology. Interviews were conducted faceto-face in people’s homes in their national language between January 3rd and February 15th 2005. While respecting cultural differences within Europe, the European Commission is aiming to promote science and research which respects fundamental ethical principles. The main activities of the Directorate-General for Research in promoting responsible research in Europe are: - Pursuing the part of the Science and Society Action Plan dealing with the ethical dimension in science and the new technologies (the Action Plan was adopted by the European Commission in December 2001); - Applying the ethical rules for the Research Framework programmes; - Performing an ethical assessment of research projects funded by the European Commission i.e. analyse whether the principles established by the Charter of European Fundamental Human Rights are respected; - Supporting, through the European Union's 6th Framework Programme for Research, research on ethical and social issues raised by developments in science and technology; - Making known International Rules and Conventions relating to ethics. #####The results by volumes are distributed as follows: * Volume A: Countries * Volume AA: Groups of countries * Volume A' (AP): Trends * Volume AA' (AAP): Trends of groups of countries * Volume B: EU/socio-demographics * Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: http://www.gesis.org/en/home/

Snapshot img

AI Ethics And Governance Solutions Market Size 2025-2029

The AI ethics and governance solutions market size is forecast to increase by USD 4.42 billion at a CAGR of 43.2% between 2024 and 2029.

The market is experiencing significant growth and transformation, driven by intensifying regulatory scrutiny and landmark legislation. As artificial intelligence (AI) becomes increasingly integrated into various industries, the need to ensure ethical and responsible use of AI technologies is becoming a top priority for organizations. This has led to a shift from niche tools to integrated governance platforms, which can help manage and mitigate ethical risks associated with AI. However, this rapidly evolving field presents unique challenges. Digital twin technology is gaining traction in industries, enabling real-time monitoring and predictive maintenance of machinery.
Effective strategies for addressing these challenges include investing in research and development, collaborating with industry experts, and implementing robust governance frameworks. By doing so, companies can not only mitigate risks but also gain a competitive edge in the market. Technical complexity and lack of standardization continue to hinder widespread adoption and effective implementation of AI ethics and governance solutions. Another key trend shaping the market is the increasing adoption of enterprise AI by Small and Medium-sized Enterprises (SMEs). Organizations must navigate these challenges to capitalize on the opportunities presented by the market and ensure they are using AI in a responsible and ethical manner.

What will be the Size of the AI Ethics And Governance Solutions Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free Sample

The market is witnessing significant activity and trends, with a focus on ensuring responsible AI use and mitigating potential risks. AI control mechanisms and risk management solutions are in high demand, as businesses strive to maintain transparency and accountability in their AI systems. An ethical leadership and oversight committee are being established to implement AI ethics principles and policies, which include algorithmic fairness, bias detection, and trust building. Transparency standards and explainability are crucial for building trust and addressing ethical implications.

AI system reliability and robustness are essential for ensuring compliance with safety regulations and societal impact assessments. Data protection strategies, provenance, and compliance frameworks are also critical components of AI governance initiatives. Ethics research and audit techniques are ongoing efforts to address ethical considerations and implement effective governance models. AI security standards and ethical implications continue to shape the market landscape. Speech processing and natural language processing are key components of AI, enabling seamless communication between humans and smart machines.

How is this AI Ethics And Governance Solutions Industry segmented?

The AI ethics and governance solutions industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Regulatory compliance
  Risk and compliance
  Bias detection and mitigation


Deployment

  Cloud-based
  Hybrid
  On-premises


End-user

  BFSI
  Healthcare
  Government and defense


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    The Netherlands
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Type Insights

The Regulatory compliance segment is estimated to witness significant growth during the forecast period. The global market for AI ethics and governance solutions is gaining momentum as organizations seek to ensure the responsible development, deployment, and use of artificial intelligence. Transparency methods and data privacy protocols are essential components of ethical AI, with solutions providing algorithmic transparency and bias detection tools to mitigate potential risks. AI fairness guidelines and regulatory compliance are crucial for organizations to adhere to, particularly in high-risk applications and jurisdictions with active AI legislation. Governance frameworks, ethics training, and security controls are integral parts of the ethical AI development process. AI accountability metrics and auditing methodologies enable organizations to monitor and assess the impact of AI systems on various stakeholders.

Algorithmic auditing, safety protocols, and ethics certification further enhance the trustworthiness of AI systems. Data governance strategies, anonymi

Additional file 1. List of definitions: the Excel file “List of definitions_data protection.xlsx” includes legal definitions for the terms “personal data”, “anonymized”, “de-identified”, “pseudonymized” and “encrypted”, as provided by the participating ICN countries/regions.

Digital Ethics & Governance Airport Market Outlook

According to our latest research, the global Digital Ethics & Governance Airport market size in 2024 stands at USD 2.15 billion, reflecting the growing integration of ethical digital frameworks and governance solutions within the aviation sector. The market is projected to expand at a CAGR of 17.6% from 2025 to 2033, reaching a forecasted value of USD 10.38 billion by 2033. This robust growth is fueled by the increasing adoption of advanced digital technologies in airports, the rising focus on data privacy, and the need for stringent compliance management in the face of evolving regulatory landscapes.

One of the primary growth factors driving the Digital Ethics & Governance Airport market is the rapid digital transformation underway across airports worldwide. As airports evolve into smart, interconnected hubs, the volume and sensitivity of digital data being generated, processed, and stored have surged exponentially. This has necessitated the implementation of comprehensive digital ethics and governance frameworks to ensure responsible data usage, privacy protection, and adherence to international standards. The proliferation of IoT devices, AI-powered surveillance systems, and automated passenger management solutions has further underscored the need for robust governance mechanisms, making digital ethics a top priority for airport authorities and stakeholders.

Another significant driver is the tightening regulatory environment surrounding data privacy and cybersecurity in the aviation sector. Governments and international bodies are increasingly mandating strict compliance with data protection laws such as GDPR, CCPA, and other region-specific regulations. Airports, as critical infrastructure, are under mounting pressure to demonstrate transparent data handling practices, conduct regular risk assessments, and establish accountability mechanisms for digital operations. This regulatory impetus is compelling airports to invest in specialized software, hardware, and services tailored to digital ethics and governance, thus propelling market growth over the forecast period.

Furthermore, the growing awareness among airport operators about the reputational and operational risks associated with digital mismanagement is catalyzing the adoption of governance solutions. High-profile incidents of data breaches, cyberattacks, and ethical lapses have highlighted the vulnerabilities inherent in legacy IT systems. As a result, airports are increasingly prioritizing digital ethics as a strategic imperative, integrating governance frameworks into their core operational models. This shift is not only enhancing trust among passengers and stakeholders but also driving efficiency, compliance, and resilience across airport ecosystems.

From a regional perspective, North America currently leads the Digital Ethics & Governance Airport market, accounting for the largest share due to its early adoption of advanced digital technologies and stringent regulatory frameworks. Europe follows closely, driven by GDPR compliance and a strong emphasis on ethical digital practices. The Asia Pacific region is poised for the fastest growth, with a projected CAGR of 19.2% through 2033, fueled by rapid airport modernization, increasing air traffic, and government initiatives promoting digital transformation. Latin America and the Middle East & Africa are also witnessing steady progress, albeit at a slower pace, as digital infrastructure and regulatory maturity continue to develop.

Component Analysis

The Digital Ethics & Governance Airport market is segmented by component into software, hardware, and services, each playing a pivotal role in enabling airports to establish comprehensive digital governance frameworks. The software segment encompasses solutions for data privacy management, compliance tracking, risk assessment, and incident response. These platforms are increasingly being adopted by airports to automate governance proces