Artificial Intelligence (AI) ethicsDigital ethicsDigital technologies and archetypesPRISMASystematic literature reviewOntological frameworkThe use of Artificial Intelligence (AI) in Digital technologies (DT) is proliferating a profound socio-technical transformation. Governments and AI scholarship have endorsed ...
Announcement – Ethics of Artificial Intelligence (AI) Course Launched, Explore to know the importance of ethics in AI, ethical frameworks, principles, and challenges. What are the Important Pillars of Ethical AI? The rising adoption of AI across different industries also creates questions about the...
This submission seeks to respond to the questions raised in the Department of Industry, Innovation and Science's consultation hub regarding 'Artificial Intelligence: Australia's Ethics Framework' discussion paper prepared by the CSIRO Data61 data innovation group. As scholars working at the intersection...
AIGC is not a standalone framework. It is a complementary framework that builds on existing frameworks, standards and initiatives related to AI ethics, governance and regulation. Some examples of such frameworks include:- The OECD Principles on Artificial Intelligence - The EU Ethics Guidelines for ...
Ethics of Artificial Intelligence Artificial Intelligence (AI) has become an integral part of our daily lives, from virtual assistants like Siri and Alexa to self-driving cars and personalized recommendations on streaming platforms. While AI has the potential to revolutionize industries and improve ...
The pace of Artificial Intelligence (AI) is rapidly changing. Though we’ve been in the AI space for some time, with the AI-driven OpenBlue, we know it’s now becoming part of all our lives. Along the way, we’ve formed core AI principles to align with
Artificial Intelligence Ethics and Policy Artificial intelligence (AI) has become an increasingly prevalent and transformative force in our society, revolutionizing industries, improving efficiency, and enhancing convenience for consumers. As AI technologies continue to advance and evolve, questions surrounding...
Artificial intelligence: Digital humanities, business, & society Sections Figures References Abstract Introduction Theory background Research methodology Theme II. Why is there algorithmic recruitment discrimination Theme III. Which algorithmic recruitment discrimination exists Theme IV. How decreasing algorithmic...
ethics; data; machine learning; sustainable development goals; complexity; collective intelligence; systemic risk; human rights1. Introduction Ethics has always been a fundamental matter for humanity [1,2,3]. Evolving from the myth and the great chronical literature, Greek philosophers brought a new...
trustworthy AI; explainable AI (XAI); artificial general intelligence (AGI); entropy; information theory; autonomous human–machine teams and systems (A-HMT-S); cybersecurity; resilience; privacy; ethical AI1. Introduction This article develops an AI Trust Framework and Maturity Model (AI-TMM) ...