Ethical AI for Teaching and Learning
Ethical AI for Teaching and Learning November 27, 2023 Authored: Team Published: Cornell CTI Summary: The article underscores the importance of understanding and critically evaluating generative Artificial Intelligence tools in education, considering ethical implications and potential biases. It addresses key issues such as transparency, political impact, environmental impact, diversity, and privacy concerns related to AI […]
ChatGPT and Beyond: How to Handle AI in Schools
October 19, 2023 Authored: By Christine Elgersma Published: Common Sense Education Summary: The article explores the growing presence of Artificial Intelligence in education, particularly focusing on the concerns and implications for teachers and students. It discusses various forms of AI, from automation to generative AI, and addresses current concerns such as plagiarism, ethical considerations, biases, […]
US Military Pledges Principled, Responsible Approach to Artificial Intelligence
US Military Pledges Principled, Responsible Approach to Artificial Intelligence OCTOBER 12, 2023 Authored: by Sonner Kehrt and Eden Stratton Published: The War Horse Summary: The article discusses the military’s investment in artificial intelligence (AI) and the potential ethical and operational challenges. The U.S. military is allocating significant funds for AI and machine learning development. The […]
Generative Artificial Intelligence in education: What are the opportunities and challenges?
Generative Artificial Intelligence in education: What are the opportunities and challenges? July 3, 2023 Authored: By United Nations Educational, Scientific and Cultural Organization Published: United Nations Educational, Scientific and Cultural Organization Summary: The article discusses the readiness of schools to regulate the use of AI tools in education. It highlights that very few schools and […]
Generative AI’s Impact on Learning and Development
Jen Dewar – Linkedin
Generative Artificial Intelligence (GAI) is gaining popularity rapidly and is expected to have a transformative impact on workplace learning programs. GAI can be used for content creation, adaptive development plans, learning program communication, knowledge discovery, skills gap analysis, and succession planning. The benefits include higher productivity, creativity, and better decision-making. However, incorporating GAI requires careful consideration of accuracy, ethics, and confidentiality issues. Creating guidelines and policies for responsible use is essential to harnessing the potential of GAI in the learning and development space. Embracing GAI now can help organizations future-proof their workforce and stay ahead in the evolving world of work.
Artificial Intelligence | An Introduction
Ramswarup Kulhary – GeeksforGeeks
The article provides an overview of artificial intelligence and its applications. It discusses the meaning of intelligence and how AI aims to mimic human intelligence. Key ideas include the uses of AI in various industries, different approaches to AI, forms of AI (weak, strong, and superintelligence), and technologies based on AI (machine learning, natural language processing, etc.). The article also mentions the drawbacks and issues related to AI and explores the future of AI technologies.
Principled Artificial Intelligence
Principled Artificial Intelligence January 15, 2020 Authored: Jessica Fjeld & Adam Nagy Published: MAPPING CONSENSUS IN ETHICAL AND RIGHTS-BASED APPROACHES TO PRINCIPLES FOR AI Summary: The article discusses the development of AI principles by various organizations and highlights eight key themes found in these principles: Privacy, Accountability, Safety and Security, Transparency and Explainability, Fairness and […]
Can Machines Think?
Rockwell Anyoha – Harvard University
The article traces the history of Artificial Intelligence ( from its inception in science fiction to its development in the 20th century. It highlights the early challenges faced by AI due to computational limitations and the subsequent breakthroughs in algorithmic techniques and increased computer power. The article discusses AI’s achievements, including chess-playing computers and speech recognition software. The current age of “big data” and AI’s applications in various industries are explored, and the future prospects of AI, particularly in language processing and driverless cars, are considered. The ultimate goal of achieving general intelligence is mentioned, with ethical concerns surrounding it.