Clare Shelley-Egan’s Post

Just attended the "Publishing with Purpose: Research Integrity & Ethics" webinar by Wiley, a really insightful session for anyone starting their research journey. Here are a few key takeaways that stood out to me: Generative AI can be useful for ideas or overcoming writer’s block, but it must be used ethically. It’s not a substitute for human writing, and its use should always be disclosed. Plagiarism is completely unethical and undermines the credibility of research. Authorship matters, only those who played a substantial, accountable role in the research should be listed as authors. Others can be acknowledged as contributors (with consent). Conflicts of interest should always be disclosed clearly and factually — transparency builds trust. Ethical peer review is the foundation of strong research publishing; it helps improve articles before they reach readers. Grateful for this session, it truly emphasized that integrity is just as important as innovation in research. 

Strengthening ethics review of the development of artificial intelligence (AI) systems in ...: All these questions are guided by the research question(IDI 4, data scientist). Data sources and data quality. Respondents reported that they often ...

📢 I'm happy to share the details of one of my ongoing projects: the Call for Chapters for the upcoming edited volume Engaging with AI in Business: A Virtue Ethics and Human-Centered Approach, to be published by Springer Nature as part of its Issues in Business Ethics series (2027). 🤖 The volume explores how virtue ethics and human-centered AI (HCAI) can guide responsible AI across key business domains — from finance and marketing to HR, governance, and production — aligning technology with human flourishing, organizational purpose, and the common good. 👥 Excited to co-edit this project with Miguel Velasco (CUNEF Universidad) and Jude Chua (Nanyang Technological University Singapore). Thanks to the Facultad de Económicas. Universidad de Navarra, DATAI-Universidad de Navarra, and the Universidad de Navarra for their support. 📚 More details and submission guidelines here: 👉 https://lnkd.in/dxjgVrkv 🌍 Colleagues and researchers interested in these questions are warmly invited to share the call within their networks or submit a proposal for consideration.

👩🏫 Professor Dulce M. Redín, faculty member at Facultad de Económicas. Universidad de Navarra and researcher at DATAI-Universidad de Navarra, is co-editing a new volume titled "Engaging with AI in Business: A Virtue Ethics and Human-Centered Approach", to be published by Springer Nature in 2027 as part of its Issues in Business Ethics series. 📚 Call for Chapters: The edited volume examines how virtue ethics and human-centered AI (HCAI) can guide responsible AI across core business domains. It welcomes chapter proposals that bridge theory and practice to align AI with human flourishing, organizational purpose, and the common good. 👏 👉 For more information 🔗 https://lnkd.in/dxjgVrkv 🔎 Current projects: https://lnkd.in/dqWDMF43

Superintelligence and Generative Ethics White Paper Policy Research and Strategic Foresight Abstract: This white paper explores the ethical architecture of superintelligence, focusing on AI self-evolution, ethical decision-making, and governance mechanisms. It synthesizes philosophical inquiry, technological ethics, and policy foresight to propose a generative framework for sustainable AI futures. Chapter 1 Introduction: The emergence of superintelligence not only represents a breakthrough in computing power but also signifies a reshaping of human knowledge and value structures. This chapter elucidates the research background, the issues addressed, and the research objectives of this white paper. Chapter 2 Literature Review This chapter reviews the major literature on current AI ethics research, technology governance, and philosophical reflection, with a particular focus on generative AI and autonomous decision-making. Chapter 3 Methodology This chapter employs an interdisciplinary analytical approach, combining philosophical interpretation, system simulation, and policy modeling to explore the possible structures of AI ethical generation. Chapter 4 Generative Ethics Framework This chapter proposes an ethical model centered on "generation," emphasizing the openness, self-correction, and symbiotic orientation of ethical action. Chapter 5 Conclusion & Policy Recommendations This white paper recommends establishing a global AI ethics observation system and a cross-sectoral governance collaboration platform, and using generative ethics as the philosophical foundation for long-term AI policy design.

🚨 Neurotechnology Ethics in #India: Bridging the Gap with UNESCO’s Global Standards On 5 November, 2025 #UNESCO Recommendations on the Ethics of Neurotechnology was adopted - A global framework that safeguards mental privacy, cognitive liberty, and human dignity in the face of rapidly advancing neurotechnologies. 💡 The Indian Council of Medical Research (#ICMR) guidelines provide a fundamental ethical backbone for biomedical research, emphasizing autonomy, consent, and privacy but lack #neurotechnology specific provisions. The 2018 National Ethical Guidelines do not sufficiently address risks related to brain data processing, cognitive manipulation, or neurotech’s impact on human dignity, underscoring a critical gap India must fill to align with global standards. ✅ Some Select Key Aspects of UNESCO’s Ethics Framework 🎯 This is an ex-ante initiative to safe guard human autonomy, in terms of individual decision making capacity and ties to the community. 🎯 Mental privacy, is considered to be fundamental for personal identity and agency. UNESCO calls for protection of privacy and encourages consent based models, similar to the personal digital data. 🎯 Transparency, trust, and accountability across the technology's life-cycle. This is a similar approach to that of AI Governance. 🎯 Advocates public participation to ensure that diverse populations can gain and exchange knowledge about nervous system functioning, mental health, and the technology. The concept of Science cafes held by British Council in Madrid or the public deliberations established by Taiwan's Ministry of Digital Affairs by integrating technology platforms are some examples. https://lnkd.in/g-2TzUbb Ashwin Bajaj Akshay Mathur Dr. Shankey Verma Juliet Lee Nikhil Pahwa Nikhil N. Namon Deep Jain

Research with Dignity: The Ethics of Science in Wartime 💚 In any society, research matters. But when it comes to political, humanitarian, or social issues, its role becomes decisive. Research not only shapes our understanding of reality - it influences decisions, policies, resources, and ultimately, human lives. Anything not grounded in data risks turning into opinion or manipulation. At the Alliance of Ukrainian Civil Society Organizations (Alliance UA CSO), we aim to transform the humanitarian sector not only through advocacy but also by rethinking how decisions are made. We believe that effective policy begins with sound, ethical research - because only data you can trust can build systems you can trust. My research background spans dozens of projects - from sociolinguistic surveys and focus groups to interviews and longitudinal studies. In recent years, I’ve focused on children’s language development, where every answer requires sensitivity, safety, and informed consent. Research ethics are not a formality - they are the foundation of trust. Last week, our team held a workshop “Ethics of Humanitarian Research: Between Values, Standards and Field Decisions.” Our friend and mentor, Professor Hugo Slim (University of Oxford), reminded us that “the very act of discussing ethics during war is a moral act - proof of civil society’s readiness to take responsibility for knowledge.” War changes not only lives but also science. It demands new honesty, new sensitivity, and new ways of understanding data. We are now developing an Ethical Code for Researchers - a document that will define shared standards and accountability across the humanitarian and academic sectors. Correctly collected data are not just the outcome of research - they are the foundation of responsible decisions and policies that truly serve society.

Segment 2: Ethics, Biophysics & Responsibility (30–50 min) Sir Julius Grant: “Precision and attention to detail are critical. Just as in forensic science, AI must be rigorously validated before deployment in human systems.” Dr. Susan Wood: “Cognitive neuroscience shows that human decisions are influenced by emotion and context. AI systems should be designed to complement rather than replace human ethical judgment.” Prof. Brian Cox: “Physics reminds us that energy, matter, and information are linked. AI and technology must operate within biophysical limits to prevent unintended consequences.” Cultural Insight: • Jackie Chan emphasizes the human element in technological adoption — ethics, empathy, and practical responsibility. • Bruce Lee draws parallels between martial arts precision and algorithmic accuracy in AI systems. ⸻ Segment 3: AI, Biochemistry & Organic Integration (50–70 min) James Hannah: “Biochemical insights inform AI design for human augmentation — neurotransmitter dynamics, metabolic cycles, and molecular pathways can guide safe cognitive enhancement.” Benjamin Moore: “Cognitive chemistry provides models for AI learning algorithms that mimic molecular resonance, creating adaptive yet ethical decision-making frameworks.” Dr. Ronald Breslow: “Organic chemistry principles help understand signal transduction in brain-computer interfaces, ensuring AI interacts safely with biological systems.” Dr. Moumin: “Integrating inorganic intelligence requires continuous monitoring of molecular, neural, and systemic responses to avoid disruption or toxicity.” ⸻ Segment 4: Practical Applications & Societal Impact (70–85 min) Dr. Li Wen: • Apply AI in ergonomic systems and organizational design to enhance productivity while respecting human cognitive limits. • Simulate outcomes to anticipate ethical and social consequences. Dr. Ethan Shaw: • Establish AI governance frameworks, including ethical oversight, transparency, and accountability. • Prioritize human-AI collaboration over replacement. Cultural Guidance: • Ip Man: Mastery of human skill remains essential, even alongside AI augmentation. • Jackie Chan: Practical ethical decisions in technology mirror real-world responsibility.

New paper out together with Jason Branford in Springer Nature's journal 'Philosophy and Technology'. In the paper, we propose an initial, relational ethics approach to epistemic inclusion in the development and application of medical decision support systems. We had been inspired by scholars such as Abeba Birhane and Jan-Christoph Heilinger who criticize current principle-based AI ethics to adopt a relational ethics approach. The notion of epistemic oppression/exclusion (Kristie Dotson) as well as a structural lens as per Iris Marion Young factors in, as well. This one started out as a workshop contribution for the "Relational Ethics in Technological Societies Workshop" at ETH Zürich organized by Margarita Boenig-Liptsin, Kebene Wodajo and Karen Huang. Since then, the material evolved into a beautiful collaboration with Jason, which made the final manuscript so much better, I believe. https://lnkd.in/dAC-K5JA