As of 2023, around ** percent of U.S. adults rated the honesty and ethics of nurses as very high or high. This rating was lower in comparison to ** percent in 2019. This statistic presents the ratings for honesty and ethics of selected health professionals in the United States from 2019 to 2023.

The statistic shows results of a survey conducted in 2021 on honesty and ethical standards of people working in particular fields. In 2021, 81 percent of respondents rated the honesty and ethical standards of nurses highly or very highly.

On average, at least 40 percent of employees have come across some form of AI use that resulted in ethical issues. Capgemini Research Institute defines ethical issues stemming from the use of AI as interactions that result in outcomes that are unexplainable, not transparent, unfair, or biased against a certain group of users. An example of AI interactions resulting in ethical ssues is using an artificial intelligence system to screen job applicants that results in a disproportionate selection of candidates across gender, ethnicity, age, or other factors.

Updated 11/1/2011. Monthly file that represents Ethics Statistics on Training Seminars, Employees Trained, Inquiries (Pre-Bid Meetings included), New Investigations, Advisory Opinions Issued, Vendor Compliance Audit, Lobbyist Expense Audit, and Pplitical Contributions Audit

Statistical applications are increasingly inducing ethical considerations, which are often not able to be resolved via statistics alone. In this article, we present a proposed course that combines applied statistics and moral philosophy. The instructional methods included are designed with implementation at a large research institution in mind but are fully intended to be transferable to any setting adopting such an interdisciplinary course into its curriculum. The aforementioned methods will foreground case-studies as tangible examples in a recurrent workflow involving identification of a dilemma, statistical analysis, philosophical defense, and application to the particular case study. Formative and summative assessment mechanisms will be presented alongside future directions and potential pitfalls of such a course. Motivating the proposed course is a desire to fill the comparative void in moral reasoning for statistics and data science curricula.

Financial overview and grant giving statistics of Ethics in Entrepreneurship

Objective: The AIMS survey provides nationally representative survey data on attitudes towards AI safety, the moral consideration, social integration, and sentience of AIs. One purpose of the AIMS survey is to track how the public’s opinion on this topic changes over time. Another purpose is to provide data for any researchers to use to test their predictions.

Methods: Nationally representative samples of U.S. adults were recruited with iSay/Ipsos, Dynata, Disqo, and other leading sample panels based on census estimates from the American Community Survey. Survey materials and hypotheses are available on the OSF (see "Citations and preregistrations").

Results: Some descriptive statistics and demographic information are in the supplemental results. Additional results are in Sentience Institute’s reports (https://www.sentienceinstitute.org/aims-survey).

Conclusions: The AIMS survey data offer empirical evidence of how humans extend moral consideration to AIs who exist now and sentient AIs who may exist in the future. The data provide empirical evidence of social perceptions of AIs, attitudes towards AI safety and governance, perceived connectedness to AIs, and forecasts for future human-AI relations. These data serve to ground our expectations regarding U.S. public opinion on AIs and enable us to track how public opinion changes over time.

Citations and preregistrations: This project was designed in 2021 by researchers at the Sentience Institute: Janet Pauketat, Ali Ladak, Jamie Harris, and Jacy Reese Anthis. Wave 1 (2021) was authored by this team and preregistered (https://osf.io/udbhm). The wave 2 (2023) main data was authored by Janet Pauketat, Ali Ladak, and Jacy Reese Anthis and preregistered (https://osf.io/w9h6g). The wave 2 (2023) supplement data was authored by Janet Pauketat and Jacy Reese Anthis and preregistered (https://osf.io/7p2wt).

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

In 2024, the main concern of chief HR officers concerning artificial intelligence (AI) and ethics in the workplace was *******************************. The issue that was second in order of concern was ******************************************, with just over half of respondents who gave this as their answer.

Financial overview and grant giving statistics of Ethics Naples Inc

Like most professional disciplines, the ASA has adopted ethical guidelines for its practitioners. To promote these guidelines, as well as to meet governmental and institutional mandates, U.S. universities are demanding more training on ethics within existing statistics graduate student curricula. Most of this training is based on the teachings of Western philosophers. However, many statistics graduate students are from Eastern cultures (particularly Chinese), and cultural and linguistic evidence indicates that Western ethics may be difficult to translate into the philosophical concepts common to students from different cultural backgrounds. This article describes how to teach cross-cultural ethics, with emphasis on the ASA Ethical Guidelines, within a graduate-level statistical consulting course. In particular, we present content that can help students overcome cultural and language barriers to gain an understanding of ethical decision-making that is compatible with both Western and Eastern philosophical models. Supplementary materials for this article are available online.

This is data collected from a survey that was for members of GLAM institutions that were contributing to open knowledge projects (Wikidata, Wikipedia, SNAC, etc.). The purpose of the survey was to learn about policies and practices, or lack thereof, GLAM staff are following around contributing demographic information for living people (e.g., Sex or Gender, Ethnic Group, Race, Sexual Orientation, etc.) to open knowledge projects. Information collected from this survey will inform an ethical investigation into issues surrounding these practices.

Statistical records of integrity and ethics incidents filed in the year 2019

According to a survey of business leaders in the healthcare industry in the United States in 2021, ** percent of respondents reported having concerns that AI in healthcare could lead to threats to security and privacy. A further ** percent were worried that AI could have safety issues, while ** percent had concerns surrounding machine bias.

The potency and potential of digital media to contribute to democracy has recently come under intense scrutiny. In the context of rising populism, extremism, digital surveillance and manipulation of data, there has been a shift towards more critical approaches to digital media including its producers and consumers. This shift, concomitant with calls for a path toward digital well-being, warrants a closer investigation into the study of the ethical issues arising from Artificial Intelligence (AI) and Big Data. The use of Big Data and AI in digital media are often incongruent with fundamental democratic principles and human rights. The dominant paradigm is one of covert exploitation, erosion of individual agency and autonomy, and a sheer lack of transparency and accountability, reminiscent of authoritarian dynamics rather than of a digital well-being with equal and active participation of informed citizens. Our paper contributes to the promising research landscape that seeks to address these ethical issues by providing an in-depth analysis of the challenges that stakeholders are faced with when attempts are made to mitigate the negative implications of Big Data and AI. Rich empirical evidence collected from six focus groups, across Europe, with key stakeholders in the area of shaping ethical dimensions of technology, provide useful insights into elucidating the multifaceted dilemmas, tensions and obstacles that stakeholders are confronted with when being tasked to address ethical issues of digital media, with a focus on AI and Big Data. Identifying, discussing and explicating these challenges is a crucial and necessary step if researchers and policymakers are to envisage and design ways and policies to overcome them. Our findings enrich the academic discourse and are useful for practitioners engaging in the pursuit of responsible innovation that protects the well-being of its users while defending the democratic foundations which are at stake.

Financial overview and grant giving statistics of Ethics In Education Networkinc

Financial overview and grant giving statistics of Ethics Resource Center Inc

International development and humanitarian organizations are increasingly calling for digital data to be treated as a public good because of its value in supplementing scarce national statistics and informing interventions, including in emergencies. In response to this claim, a ‘responsible data’ movement has evolved to discuss guidelines and frameworks that will establish ethical principles for data sharing. However, this movement is not gaining traction with those who hold the highest-value data, particularly mobile network operators who are proving reluctant to make data collected in low- and middle-income countries accessible through intermediaries. This paper evaluates how the argument for ‘data as a public good’ fits with the corporate reality of big data, exploring existing models for data sharing. I draw on the idea of corporate data as an ecosystem involving often conflicting rights, duties and claims, in comparison to the utilitarian claim that data's humanitarian value makes it imperative to share them. I assess the power dynamics implied by the idea of data as a public good, and how differing incentives lead actors to adopt particular ethical positions with regard to the use of data.

At a bustling job fair in early 2025, a midsized tech startup stood out, not for its swag bags or giveaways, but for something less flashy and far more transformative. It had no recruiters on site. Instead, a sleek interface on kiosks allowed candidates to interact with an AI recruiter...