The United Nations Secretary-General’s High-level Advisory Body on Artificial Intelligence (HLAB-AI) released its final report “Governing AI for Humanity” today. It builds on months of extensive global consultations and the publication of an interim report in December 2023. The uniquely diverse Advisory Body is the world’s first and most representative expert group capable of reflecting humanity’s aspirations for AI. This groundbreaking report outlines a blueprint for addressing AI-related risks and sharing its transformative potential globally, including by: • Urging the UN to lay the foundations of the first globally inclusive and distributed architecture for AI governance based on international cooperation; • Proposing seven recommendations to address gaps in current AI governance arrangements; • Calling on all governments and stakeholders to work together in governing AI to foster development and protection of all human rights. (Press release UN Secretary-General’s High-level Advisory Body on Artificial Intelligence, New York, NY, September 19, 2024).

This "Digital Ethics" handbook emphasises ethics in the digital era, targeting educators in higher education. It comprises three main chapters: “Digital Ethics” covers technology-society dynamics, a range of ethical approaches and tools, and contemporary issues such as data ethics, AI ethics, and corporate digital responsibility ; “Teaching Digital Ethics” focuses on a range of teaching methods to foster ethical literacy, encouraging reflection on personal and societal values ; “Ethical Decision Making” explores professional ethics, offering a structured decision-making template and comparing human and AI decision-making. In conclusion, the text recognises the dynamic nature of digital ethics.

Data is the magic word of the 21st century. As oil in the 20th century and electricity in the 19th century: For citizens, data means support in daily life in almost all activities, from watch to laptop, from kitchen to car, from mobile phone to politics. For business and politics, data means power, dominance, winning the race. Data can be used for good and bad, for services and hacking, for medicine and arms race. How can we build trust in this complex and ambiguous data world? How can digital technologies serve humanity? The 45 articles in this book represent a broad range of ethical reflections and recommendations in eight sections: a) Values, Trust and Law, b) AI, Robots and Humans, c) Health and Neuroscience, d) Religions for Digital Justice, e) Farming, Business, Finance, f) Security, War, Peace, g) Data Governance, Geopolitics, h) Media, Education, Communication. The authors and institutions come from all continents. The book serves as reading material for teachers, students, policy makers, politicians, business, hospitals, NGOs and religious organisations alike. It is an invitation for dialogue, debate and building trust! The book is a continuation of the volume “Cyber Ethics 4.0” published in 2018 by the same editors.

Background:This study is the result of findings from a previous dissertation conducted by this author on Student Nurses’ Unethical Behavior, Boundaries, and Social Media. The use of social media can be detrimental to the nurse–patient relationship if used in an unethical manner.Method:A mixed method, using a quantitative approach based on research questions that explored differences in student nurses’ unethical behavior by age (millennial vs nonmillennial) and clinical cohort, the relationship of unethical behavior to the utilization of social media, and analysis on year of birth and unethical behavior. A qualitative approach was used based on a guided faculty interview and common themes of student nurses’ unethical behavior.Participants and Research Context:In total, 55 Associate Degree nursing students participated in the study; the research was conducted at Central Texas College. There were eight faculty-guided interviews.Ethical considerations:The main research instrument was an anonymous survey. All participants were assured of their right to an informed consent. All participants were informed of the right to withdraw from the study at any time.Findings:Findings indicate a significant correlation between student nurses’ unethical behavior and use of social media (p = 0.036) and a significant difference between student unethical conduct by generation (millennials vs nonmillennials (p = 0.033)) and by clinical cohort (p = 0.045). Further findings from the follow-up study on year of birth and student unethical behavior reveal a correlation coefficient of 0.384 with a significance level of 0.003.Discussion:Surprisingly, the study found that second-semester students had less unethical behavior than first-, third-, and fourth-semester students. The follow-up study found that this is because second-semester students were the oldest cohort.Conclusion:Implications for positive social change for nursing students include improved ethics education that may motivate ethical conduct throughout students’ careers nationally and globally for better understanding and promotion of ethics and behavior.