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The profession, the legal system and society have all traditionally seen loyalty, confidentiality, care and competence as cornerstones of professional responsibility. Lawyers are in a fiduciary relationship with their clients – clients need to be able to trust their lawyers to provide advice and represent them loyally in the legal system, uninfluenced by any concern other than the client’s interests. We examine lawyers’ general duty of care and competence in Chapter 5 and their obligations to avoid conflicts of interest in Chapter 6 . The topic for this chapter is the duty of confidentiality: the obligation to keep secret all communications made by the client to the lawyer about their affairs and all the information learned about the client directly or indirectly during the professional relationship (subject to various exceptions to be discussed).
In evidence law, a privilege can prevent the discovery or evidentiary use of certain sensitive information. Many privileges apply to communication with specified persons such as lawyers, doctors, psychologists, accountants, clergy, or spouses. A major shortcoming of current privilege law is that it tends to protect relationships that are more common in higher economic strata. Low-income people do not benefit equally from privileges because their relationships are less likely to meet the requirements set forth in statutes and case law. The time has come to level the playing field and extend the valuable protections of evidentiary privileges more uniformly throughout society. Evidentiary privilege should not depend on economic privilege.
Chapter 8 continues the focus on the nurse–patient relationship by examining legal and moral requirements around patient privacy and confidentiality, and mandatory reporting. It explains requirements in relation to the management of patient information, including reporting of child abuse, family violence and professional misconduct.
This chapter examines two dimensions of AI assurance for systems designed to assist unrepresented litigants: (1) reliability and (2) privacy and accountability. Reliability encompasses accuracy, calibration, robustness, and bias. Privacy and accountability involve balancing data needs with the protection of sensitive information and ensuring the responsible deployment of AI. These considerations take on heightened importance given unrepresented litigants’ unique vulnerabilities and legal contexts.
Reliability standards must be higher for unrepresented litigants, who cannot verify AI outputs, than for legal professionals, who can exercise oversight. Privacy and accountability challenges arise from AI systems’ need for vast training datasets containing sensitive legal information, creating tensions between the effectiveness of these systems and data protection rights under frameworks such as the General Data Protection Regulation (“GDPR”) and the EU AI Act.
Effective AI assurance requires interdisciplinary collaboration between technologists and legal stakeholders to develop appropriate methodologies for defining, measuring, and verifying both reliability and privacy protections in legal AI systems.
The article examines the history of British private investigators. Historians and criminologists have shown how the police have never monopolized security or protection. The same can be said about investigation, although this is much less well understood. Private investigators have a key place in the social distribution of investigation, widely portrayed as both heroic uncoverers of the truth and as invasive “snoops.” Their work therefore opens wider questions about who should be able to know what about whom. This article focuses on the period between 1965 and 1975, which saw a range of criminal investigations, public inquiries, and press reports around private investigators, against the background of shifts in data technologies and cultures of “transparency.” This article asks why “invasions of privacy” by private investigators caused so much public concern in this period, but the attempts to restrict their activities largely petered out. It argues that the answer lies in uncertainties of the category of privacy and, more specifically, the unresolved role of the British state. In the context of changing relationships between the state, market, and the wider distribution of investigation, privacy protections did not meaningfully distinguish between who was accessing information and the reasons they were doing so. The article draws on sources including the evidence submitted to the 1972 Younger Committee on Privacy, the papers of the Director of Public Prosecutions, published memoirs, and local and national newspapers.
Generative artificial intelligence (GenAI) represents a major shift in technological innovation, capable of transforming daily life and professional sectors, including the law. GenAI leverages advanced models to create new content, from text and images to music. In legal practice, it offers opportunities to streamline tasks like legal research, document drafting, contract review, and client communication. However, widespread use of general-purpose GenAI tools (e.g., ChatGPT) not designed specifically for legal contexts introduces significant risks. These include factual inaccuracies, breaches of confidentiality, privacy violations, and potential copyright infringements. Some US court cases have already revealed the misuse of AI, citing fabricated case-laws. In response, there is growing demand to regulate AI use in the legal field through revised codes of conduct and specific guidelines. This study focuses on the mentioned national and international guidelines issued for legal professionals using GenAI. Using content analysis methods, the research sheds light on shared policies such as the necessity of client consent and confidentiality protection and risks forecasted as intellectual property violations and the reinforcement of cognitive biases, highlighting how bar associations and similar bodies are shaping responsible AI use in legal practice.
This chapter is about trust. It is the only chapter in the book that considers the opinions of professionals who had not used machine translation at work. Most of these professionals were prepared to use machine translation if needed. Some were enthusiastic about it. Others had reservations which they would want to see addressed before deciding to use a machine translation tool. These reservations included: (1) concerns about accuracy; (2) concerns about privacy and confidentiality; (3) perceptions of social and professional norms and whether their use of machine translation would be accepted by others; and (4) concerns about how machine translation may lack ‘the human touch’ in sensitive interactions. The chapter examines human communication in relation to the concept of empathy and AI’s ability to mimic it. It ends with a discussion of workplace training by exploring what machine translation users would like to see covered in initiatives aimed at enhancing their trust judgment abilities.
Medical providers involved in child abuse cases will encounter a variety of issues with legal implications, including informed consent, appropriate documentation, confidentiality, mandated reporting and potential liability. Consequently, all medical providers who may become involved in child abuse cases should have a fundamental understanding of child maltreatment laws in their jurisdiction. While informed consent is a well-established medicolegal doctrine in many countries, there are often jurisdiction-specific variations in cases of suspected child maltreatment. Complete, accurate and objective medical documentation is also imperative, as medical reports are frequently submitted in legal proceedings. Care should be taken, however, to ensure appropriate release and retention of medical records in accordance with country-specific legislation (e.g., Health Insurance Portability and Accountability Act and 21st Century Cures Act in the United States). Finally, medical providers should understand their responsibility to report to the appropriate protective services agency if there is reasonable suspicion that child maltreatment has occurred. A practitioner’s failure to adhere to statutory requirements may result in negative actions against the provider.
Three great waves of public anxiety about census privacy swept over the United States in the twentieth century. In 1940, 1970, and 2000, newspapers reported on fears of the public and politicians about invasive census questions. This article focuses on the second wave of privacy concerns surrounding the 1970 census, which focused on Big Brother and government overreach. The Census Bureau response stressed the confidentiality of census responses, but it failed to address the public concerns and sources of resistance to census inquiries. In addition to analyzing newspaper reports and congressional testimony, we examine individual refusals to respond to the census by members of the public and the Census Bureau’s responses to such refusals. By focusing on specific individual complaints instead of the general characterizations of concern found in newspaper coverage, we can gain a clearer understanding of the motives of the objectors.
Legal waivers embedded in corporate settlement agreements are commonly framed as neutral devices of dispute resolution. They promise finality, prevent double recovery and manage litigation risk. Yet in practice, waivers function as structural tools of accountability avoidance. This article examines the use of legal waivers within operational-level grievance mechanisms, focusing on three dimensions: the UNGPs’ procedural formalism, the cost dynamics of corporate settlements, and the opacity created by confidentiality provisions. It argues that the UNGPs’ emphasis on process legitimacy neglects the substantive consequences of waivers, that cost volatility incentivises their routine use, and that confidentiality provisions entrench information asymmetry while obstructing judicial oversight. The article concludes by advancing a hybrid regulatory model which prohibits blanket confidentiality of terms governing settlement agreements and advocates for greater transparency through a differentiated disclosure regime and increased judicial scrutiny by domestic courts.
The relation of subordination that characterises the contract of employment is created by the implied terms of the contract of employment such as the duty of obedience. Recently the courts have confirmed that both parties are under a duty not to destroy mutual trust and confidence and to perform the contract in good faith. The employee owes a duty of loyalty and both parties have to respect confidentiality. The chapter also examines the legal effect of breach of health and safety standards, tax law, immigration law and competition law on the enforceability of the contract of employment.
Generative artificial intelligence (AI) systems, notably ChatGPT, have emerged in legal practice, facilitating the completion of tasks, ranging from electronic communications to the drafting of documents. The generative capabilities of these systems underscore the duty of lawyers to competently represent their clients by keeping abreast of technological developments that can enhance the efficiency and effectiveness of their work. At the same time, the processing of clients’ information through generative AI systems threatens to compromise their confidentiality if disclosed to third parties, including the systems’ providers. The present paper aims to determine the impact of the use of generative AI systems by lawyers on the duties of competence and confidentiality. The findings derive from the application of doctrinal and empirical research on the legal practice and its digitalisation in Luxembourg. The paper finally reflects on the integration of generative AI systems in legal practice to raise the quality of legal services for clients.
Nathan Witkin, in his article The Cost of Closed Doors…, attempts to reframe the question of whether child dependency proceedings should be open or closed to the public and press by positing a balancing test between “dependent families seeking privacy…and the macro-level benefits of a more transparent system.” Witkin’s hypothesis is that opening dependency proceedings educates the public that child welfare spending must be increased, that transparency leads to “greater per capita” spending in open versus closed dependency systems, and finally, that more child welfare spending will result in fewer per capita child welfare fatalities in open court states. This article will examine both sides of Witkin’s proposed balancing test to demonstrate that his approach fails to prove his hypotheses. First, it will discuss how Witkin’s almost total reliance on twenty-five to thirty-year-old psychological studies rather than on contemporary mental health research substantially understates the potential dangers to child abuse victims, especially LGBTQ+ and polyvictimized children, from opening child dependency proceedings. Second, it will present evidence that the welfare budgets did not constantly increase in some closed court states that were later opened to the public, but rather fluctuated through sporadic ups and downs which over time resulted in almost no net longitudinal budgetary increases. Second, those originally closed courts that were later opened had their child fatality rates actually increase which is the opposite of Witkin’s predictions.
Chapter 4 is dedicated to the concept of informality as a crucial legal concept for the understanding of trilogues. It begins from a twofold observation. First, the informal nature of trilogues is stated in black and white in a significant variety of legal instruments. Secondly, the role of legal scholarship is to make sense of that unequivocal characterization. Drawing on institutional theory, this chapter argues that informality is a full-blown concept of EU law, and it sets about defining its characteristics. To that end, it compares trilogues with two other informal bodies, namely the Euro Group and the Informal Council meetings. The core idea of this chapter is that the codification of informality translates into legal terms the intention of the institutions to protect certain spaces from an excessive penetration of legal normativity. This intention, in turn, is indicative of the desire to preserve those spaces for the emergence of powerful social frameworks where genuine exchanges among actors may occur; exchanges that should be conducive to compromise.
This chapter covers the common ethical and legal issues that arise in psychiatry. It begins with an overview of the four ethical principles guiding medical practice: autonomy, beneficence, nonmaleficence, and justice. A brief discussion of parens patriae and police power follow, highlighting their particular applications in psychiatry. The chapter then goes on to illustrate how the balancing of these principles guides everyday ethical and legal issues. Confidentiality and its exceptions in the interests of safety and prevention of abuse/neglect are covered in detail. Next, informed consent and decision-making are explored. The requirements for informed consent are reviewed, leading into a discussion of those instances when an individual lacks capacity for informed consent (surrogate decision-making, involuntary admission and treatment, and exceptions). Finally, the chapter closes with an examination of the prohibitions against dual relationships, including sexual relationships, with patients.
Policy and professionalism go hand in hand. When safeguarding policy is all but absent as it is in the Church of England, it leaves clergy and others ill equipped to diagnose or to respond to concerns over abuse. Complex issues such as conflict of interest, evaluation based on verifiable objectives linked to safeguarding priorities, setting a balance between confidentiality and disclosure, safe recruitment and implementing the recommendations of safeguarding reviews are in effect left dangling. Expertise and professional judgement are needed both to develop policy and to apply it in real-world cases of prospective and actual abuse. Statistics about safeguarding cases covering associated resources, expenditure and outcomes are not readily available. Safeguarding reviews, mostly about particular cases, are difficult to generalise and ‘lessons learned’ are typically left at that without evidence of how safeguarding has changed as a result. The focus of safeguarding should be on the welfare of the people concerned, including survivors and perpetrators as well as congregations and church workers. Confrontational and legalistic approaches are all too common and do more harm than good. The objective should be to restore broken relationships, not necessarily between the survivor and the perpetrator, but between everyone involved in the case and the church.
This chapter explores the theory underpinning qualitative methods, namely semi-structured interviews and focus groups, and issues of methodological coherence in adopting a digital approach. We offer an in-depth exploration of the practical considerations of adopting digital methods. This includes the challenges of building a rapport with the participant, familiarity with technology for both researcher and participant, scheduling, and data protection issues. We explore pertinent ethical considerations, including institutional approval, informed consent, confidentiality, and the ongoing ethical responsibilities of the researcher engaged in qualitative research. We draw upon our experiences of using synchronous online videoconferencing platforms to conduct semi-structured interviews and focus groups, integrating our reflections throughout. Whilst necessitated by the Covid-19 pandemic, the associated need for social distancing and the potential for further regional restrictions, we argue that digital methods transcend the current global situation, offering opportunities to facilitate qualitative research that may extend beyond geographical borders, attenuate fiscal limitations, and enable greater collaboration between researchers.
As the world has become more digitally dependent, questions of data governance, such as ethics, institutional arrangements, and statistical protection measures, have increased in significance. Understanding the economic contribution of investments in data sharing and data governance is highly problematic: outputs and outcomes are often widely dispersed and hard to measure, and the value of those investments is very context-dependent. The “Five Safes” is a popular data governance framework. It is used to design and critique data management strategies across the world and has also been used as a performance framework to measure the effectiveness of data access operations. We report on a novel application of the Five Safes framework to structure the economic evaluation of data governance. The Five Safes was designed to allow structured investigation into data governance. Combining this with more traditional logic models can provide an evaluation methodology that is practical, reproducible, and comparable. We illustrate this by considering the application of the combined logic model-Five Safes framework to data governance for agronomy investments in Ethiopia. We demonstrate how the Five Safes was used to generate the necessary context for a more traditional quantitative study, and consider lessons learned for the wider evaluation of data and data governance investments.
Here, we analyze the public health implications of recent legal developments — including privacy legislation, intergovernmental data exchange, and artificial intelligence governance — with a view toward the future of public health informatics and the potential of diverse data to inform public health actions and drive population health outcomes.
Secondary use of clinical data in research or learning activities (SeConts) has the potential to improve patient care and biomedical knowledge. Given this potential, the ethical question arises whether physicians have a professional duty to support SeConts. To investigate this question, we analyze prominent international declarations on physicians’ professional ethics to determine whether they include duties that can be considered as good reasons for a physicians’ professional duty to support SeConts. Next, we examine these documents to identify professional duties that might conflict with a potential duty of physicians to support SeConts.