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"This book discusses features shared by state statutes that regulate public records and open meetings"--
The Model Rules of Professional Conduct provides an up-to-date resource for information on legal ethics. Federal, state and local courts in all jurisdictions look to the Rules for guidance in solving lawyer malpractice cases, disciplinary actions, disqualification issues, sanctions questions and much more. In this volume, black-letter Rules of Professional Conduct are followed by numbered Comments that explain each Rule's purpose and provide suggestions for its practical application. The Rules will help you identify proper conduct in a variety of given situations, review those instances where discretionary action is possible, and define the nature of the relationship between you and your clients, colleagues and the courts.
GAO was requested to analyze data on litigation arising from laws governing disclosure of and access to public records. Congress intended that the open Government laws it enacted or strengthened would rely on citizen enforcement to ensure effective compliance. Data on the implications of the growing court case load, the extent to which agencies prevailed on the issues litigated in court, and the extent of the information provided by the Government to the requestors during the litigation were studied for a 3-year period before they were analyzed.
The integrity of knowledge that emerges from research is based on individual and collective adherence to core values of objectivity, honesty, openness, fairness, accountability, and stewardship. Integrity in science means that the organizations in which research is conducted encourage those involved to exemplify these values in every step of the research process. Understanding the dynamics that support â€" or distort â€" practices that uphold the integrity of research by all participants ensures that the research enterprise advances knowledge. The 1992 report Responsible Science: Ensuring the Integrity of the Research Process evaluated issues related to scientific responsibility and the conduct of research. It provided a valuable service in describing and analyzing a very complicated set of issues, and has served as a crucial basis for thinking about research integrity for more than two decades. However, as experience has accumulated with various forms of research misconduct, detrimental research practices, and other forms of misconduct, as subsequent empirical research has revealed more about the nature of scientific misconduct, and because technological and social changes have altered the environment in which science is conducted, it is clear that the framework established more than two decades ago needs to be updated. Responsible Science served as a valuable benchmark to set the context for this most recent analysis and to help guide the committee's thought process. Fostering Integrity in Research identifies best practices in research and recommends practical options for discouraging and addressing research misconduct and detrimental research practices.
This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
Explore the Ethical Dimensions Shaping Our AI-Driven Future Attention: In a world where artificial intelligence is rapidly transforming our lives, how do we ensure that these powerful systems serve humanity's best interests? The Ethical Algorithm: Safeguarding Humanity in AI dives deep into the crucial ethical considerations that must guide AI development and deployment. Interest: This enlightening book begins by laying a solid foundation in AI ethics, drawing from historical contexts and early ethical considerations. You'll delve into the intricacies of privacy and data protection, learning about the risks and the ways to mitigate them. From there, explore the challenging terrain of bias and fairness in AI algorithms, discovering effective strategies to detect and reduce biases. With crisp clarity, it elucidates the importance of transparency and explainability, providing a roadmap for communicating complex AI decisions effectively. Desire: As you turn the pages, your understanding will deepen with real-world case studies on accountability, the impact of AI on employment, and ethical challenges in healthcare. You'll tackle the pressing issues of security and robustness, ensuring AI systems remain resilient against threats. The book also sheds light on the ethical dimensions of AI in law enforcement, highlighting the balance between surveillance and ethical use. Finally, the global perspectives and policy recommendations will empower you to envision collaborative, worldwide solutions for ethical AI practices. Action: The Ethical Algorithm: Safeguarding Humanity in AI isn't just a theoretical discourse; it's a practical guide for anyone committed to fostering ethical AI systems. This book equips you with the knowledge and tools to advocate for and design AI that respects human rights, safeguards privacy, and promotes fairness and accountability. Embark on a journey to understand and shape the future of AI, ensuring it aligns with humanity's most cherished values. Get your copy today and join the movement to safeguard our future in an AI-driven world!