ETHICAL DILEMMA

Ethical conduct is central to radiographic practice, ensuring professionalism, patient
safety, and trust in healthcare. Radiographers, however, frequently encounter ethical
dilemmas that influence their clinical decisions and adherence to professional
standards. This study investigated the nature and frequency of ethical challenges faced
by radiographers in selected hospitals and diagnostic centers within Benin Metropolis, as well as their effects on professional judgment and patient care. A descriptive cross-sectional design was adopted. Data were obtained through
structured, self-administered questionnaires distributed to 72 respondents, including
licensed radiographers and final-year radiography trainees in both public and private
health facilities. Participants were selected using stratified and simple random
sampling techniques. Data were analyzed using the Statistical Package for the Social
Sciences (SPSS) version 25. Descriptive statistics such as frequencies and percentages
were used to summarize findings, while Chi-square analysis tested the hypothesis at a
0.05 level of significance. Results indicated that radiographers often encountered ethical challenges relating to
patient confidentiality, informed consent, and professional pressure. The chi-square
test revealed a significant association between ethical dilemmas and professional
decision-making (p < 0.05), suggesting that ethical issues significantly affect
radiographic practice and patient outcomes. The study concluded that ethical dilemmas are prevalent among radiographers in
Benin Metropolis and can influence their professional integrity and service delivery. Strengthening ethical awareness through continuous education, professional
workshops, and institutional policy enforcement is essential for improving ethical
standards and promoting patient-centered care.

The significance of ethics in Artificial Intelligence (AI) can not be overstated, as it encompasses the foundational principles guiding the responsible creation, deployment and management of AI technologies. As AI systems increasingly permeates every aspect of our lives from healthcare and education to security and entertainment, their decisions and actions have profound implications not only on individual rights and privacy but also on societal norms and values. Ethical considerations in AI are paramount to ensure that these technologies enhance human well-being, uphold fairness rather than perpetuate biases, exacerbate inequalities or undermine democratic institutions. The importance of AI ethics lies in its ability to provide a framework for navigating the complex moral dilemma presented by AI, such as balance between innovation and regulation, the protection of individual privacy versus the benefits of big data and the protection of AI misuse. This project explores AI decision making from an ethical perspective, examining issues such as bias, accountability, transparency and fairness. Through case studies and theoretical analysis, it evaluates how AI systems navigate morally complex situations and the extent to which they align with human ethical principles. This study also discusses existing ethical framework such as Unitarianism, deontology and virtue ethics. Ultimately, the goal is to highlight the need for responsible AI development and governance to ensure that AI driven decisions uphold ethical standards and benefits society as a whole.