EMO: Emote Portrait Alive – Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions

EMO is an innovative framework for generating expressive portrait videos with audio-driven animation. By inputting a single reference image and vocal audio, EMO is able to create dynamic avatar videos with a range of facial expressions, head poses, and even synchronize them with the audio. With its ability to support different languages, diverse portrait styles,

The Generative AI Toolkit

The Generative AI Toolkit was created by Cecilia Lo and Maria O’Hara at King’s College London to pull together gamified and playful approaches to upskilling staff & students in the Higher Education sector in the UK and is shared under the CC YB SA License which allows you to share and adapt this with attribution. (Source)

P.A.R.T.N.E.R.- Cultivate a partnership mindset (Cora Yang & Dalton Flanagan)

The “P.A.R.T.N.E.R.” framework by Cora Yang and Dalton Flanagan provides a roadmap for building a productive partnership with Artificial Intelligence. P: Practice prompt craft A: Assess outcomes R: Refine & iterate T: Team up with AI N: Note AI is a tool E: 80/20 rule R: Responsibility rests with users

Generally Faster-The Economic Impact of Generative AI (April 2024/Andrew McAfee)

The purpose of this report is to explore the potential of generative AI as a general-purpose technology and its impact on economies and societies. The report aims to provide insights into the transformative effects of generative AI, its implications for economic growth, skills and jobs, business transformation, and potential risks and harms. The key takeaways

(Generative) AI Competencies for Future-Proof Graduates-Inspiration for Higher Education Institutions

This white paper provides a valuable resource for higher education institutions seeking to integrate AI competencies into their curricula. By understanding the key takeaways and engaging in active dialogue and collaboration, these institutions can ensure that their graduates are well-equipped to thrive in an AI-driven future. Key takeaways: Additional points:

Generative AI Idea Pack for English language teachers (Cambridge English)

These free idea cards aim to support English language teachers in using generative AI tools in their teaching. It provides practical suggestions, research-based ideas, and activities for classroom implementation. Teachers can learn about fundamental principles, effective use of generative AI tools, prompt writing tips, and various topics related to language teaching. The cards also address

DEEPFAKES AND HIGHER EDUCATION: A RESEARCH AGENDA AND SCOPING REVIEW OF SYNTHETIC MEDIA (Preprint/April 2024)

This paper emphasizes the need for further research, strategies, and regulations to navigate the challenges and harness the potential benefits of deepfake technologies in the context of higher education. Here are the key takeaways:

How does Gen AI affect trust in teacher-student relationships? Insights from students’ assessment experiences. (Paper/Open Access)

This paper is interesting for educators as it provides insights into the impact of Gen AI on trust in teacher-student relationships, addresses concerns about student cheating, promotes transparency and trust-building, informs student-centered Gen AI policies and practices, and enhances teacher-student relationships. Here are the key takeaways from this paper:

Introduction to Artificial Intelligence (Book/Open Access)

The book “Introduction to Artificial Intelligence (AI)” provides a comprehensive overview of the field of AI, exploring its concepts, applications, and implications. Authored by Ahmed Banafa, a distinguished expert in IoT, blockchain, cybersecurity, and AI, this book is designed to be accessible to beginners, students, and professionals interested in understanding the transformative potential of AI.

Reconsidering assessment for the ChatGPT era: QAA advice on developing sustainable assessment strategies.

This document discusses the challenges posed by Generative Artificial Intelligence (AI) tools, such as ChatGPT, in student assessment. It explores the need to reconsider assessment strategies in light of AI advancements. 🔍: The focus is on reviewing assessment strategies to mitigate risks to academic integrity and promote authentic assessments. It suggests reducing assessment volume, using

Teaching and Generative AI-Pedagogical Possibilities and Productive Tensions (Book/Open Access)

This curated compilation, titled “Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions,” offers a valuable and practical resource for interdisciplinary educators, librarians, and instructional designers who are navigating the opportunities and challenges of teaching in an AI-driven era. It consists of six chapters such as Framing Concepts, Research Studies, Race and Indigenous Studies, Humanizing

Generativism- an emerging AI pedagogy (Prof Mairead Pratschke/ AI-ALOE/April 2024/YouTube)

Generativism is an emerging AI pedagogy that leverages AI to enhance education. It involves designing learning experiences with generative AI as a presence, using theories like connectivism and generative learning. AI tutors and conversational frameworks can be utilized to create AI-enabled education Key insights: ✨ Generative AI is not just about efficiency but also about

What is VASA-1?

VASA-1 is a state-of-the-art model developed for generating lifelike talking faces from a single static image and a speech audio clip12. Here are some key features of VASA-1: Through extensive experiments, it has been shown that VASA-1 significantly outperforms previous methods along various dimensions12. It paves the way for real-time engagements with lifelike avatars that

Report on Generative AI in Education and Research (Boston University AI Task Force)

This report provides recommendations in the areas of training and support, privacy and security, and administrative structures related to GenAI. It includes background information, analysis of GenAI use in research and creating artifacts, and recommendations for teaching, learning, and student professional development. Additionally, the report offers best-practice guidelines for the appropriate use of GenAI tools

Generative AI Models-Opportunities and Risks for Industry and Authorities (Federal Office for Information Security)

This document provides an overview of the opportunities and risks associated with generative AI models, specifically focusing on large language models (LLMs). The document aims to create awareness among companies and authorities considering the integration of LLMs into their workflows. It provides insights into the capabilities of generative AI models, such as their ability to

Generative AI for Educators (Grow with Google)

Generative AI for Educators is a course offered by Grow with Google, in collaboration with MIT RAISE. It is designed to help teachers save time and personalize instruction using generative AI tools. The course is self-paced and flexible, allowing teachers to fit it into their busy schedules. It provides hands-on experience and practical applications of

Exploring New Horizons: Generative Artificial Intelligence and Teacher Education (AACE/e-book)

“Exploring New Horizons: Generative Artificial Intelligence and Teacher Education” is an ebook that explores the intersection of generative AI and teacher education. It discusses the transformative potential of AI in education, addresses ethical considerations, and offers practical guidance for incorporating AI technologies in teaching practices. This free ebook is a valuable resource for teachers, providing

The Pathway for Appropriate Use of AI in Higher Education (Wolak & Keffer)

The purpose of this paper is to provide a comprehensive model for assessing the appropriateness of student use of generative AI in higher education. The authors, Karen Wolak and Karen Keffer, aim to address the concerns and challenges that have emerged with the adoption of generative AI in the education sector, particularly regarding the risk

Human-AI Collaboration for Smart Education: Reframing Applied Learning to Support Metacognition (James Hutson and Daniel Plate)

The chapter titled “Human-AI Collaboration for Smart Education: Reframing Applied Learning to Support Metacognition” explores the impact of intelligent virtual assistants (IVAs) on education, focusing on individualized learning and the development of writing abilities.  The key takeaways are as follows: These key takeaways highlight the potential impact of human-AI collaboration in education and the need

100 Applications of Generative AI (Filtered Technologies 2024)

The document “100 Applications of Generative AI” provides a fascinating overview of various use cases where generative AI technology is being applied. From generating innovative ideas and providing therapy-like companionship to aiding in specific searches, text editing, topic exploration, fun and nonsense creation, and troubleshooting, these examples showcase the versatility and potential of generative AI.

Higher Education Generative AI Readiness Assessment (EDUCAUSE)

Did you know that EDUCAUSE has just published the Higher Education Generative AI Readiness Assessment? This exciting tool is specifically designed to help gauge your institution’s preparedness for strategic AI initiatives. By taking this assessment, you can gain a comprehensive understanding of your current state and explore the immense potential of generative AI in higher

ARTIFICIAL INTELLIGENCE AND DEMOCRATIC VALUES – 2023 (Report)

The 2023 AI Index covers 80 countries and reviews earlier country reports and ratings. The metrics have been updated to bring more granularity in the assessment of the implementation of the 2021 UNESCO Recommendation on AI Ethics and to include the 2023 Global Privacy Assembly Resolution on Generative AI. The 2023 report is the result of the

What is Generative AI Red Teaming?

Generative AI red teaming refers to the application of generative artificial intelligence (AI) techniques in the context of red teaming activities. In this approach, the red team utilizes generative AI models to simulate and generate realistic adversarial scenarios, behaviors, or attacks. Generative AI models, such as generative adversarial networks (GANs), variational autoencoders (VAEs), or transformers,

Attainment with AI (Complete College America)

Complete College America (CCA), in partnership with T3 Advisory, released an interesting document titled “Attainment with AI: Making a Real Difference in College Completion with Artificial Intelligence.” This compendium explores the practical applications of generative artificial intelligence (AI) in higher education and highlights its potential to revolutionize college attainment. In this blog post, I will

2024 Tech Trends Report (17th Edition)- Future Today Institute

This report on Artificial Intelligence (AI) is worth reading because it provides valuable insights into the future of AI and its potential impacts on organizations. I have had the opportunity to read numerous global reports on AI over the past 10 months, and I must say that this report stands out as my favorite. It

Turing Lectures-How AI Broke the Internet (YouTube)

The Alan Turing Institute commences its series of Prestige Lecture events, hosted at the British Library. The Turing Lectures bring to the Institute internationally leading researchers in Data Science to speak on subjects related to Mathematics, Statistics, Computer Science, Ethics & Social Science, and Commercial Enterprise. This series – presented in collaboration with The Royal

The Climate and Sustainability Implications of Generative AI (Paper)

This paper titled “The Climate and Sustainability Implications of Generative AI” is important because it addresses the rapid expansion of generative artificial intelligence (Gen-AI) and its impact on the environment and sustainability. It highlights the need to evaluate the negative consequences of Gen-AI alongside its perceived benefits and calls for a more sustainable approach to

Generative AI in Higher Education-The ChatGPT Effect (Cecilia Ka Yuk Chan & Tom Colloton/Open Access)

“Generative AI in Higher Education: The ChatGPT Effect” by Cecilia Ka Yuk Chan and Tom Colloton is an interesting book that offers a comprehensive exploration of the use and impact of ChatGPT and Generative AI (GenAI) in the field of higher education. Published in 2024, this book delves into various aspects of incorporating AI technology

Generative AI and Creative Learning: Concerns, Opportunities, and Choices (Mitchel Resnick)

This paper is important for educators as it encourages us to critically evaluate how AI technologies are currently being used in education and to consider alternative approaches that prioritize learner agency, creativity, and collaboration. It highlights the significance of aligning technological advancements with educational values and visions to meet the evolving needs of students in

Artificial intelligence and school leadership: challenges, opportunities and implications (Article)

The article titled “Artificial Intelligence and School Leadership: Challenges, Opportunities, and Implications” explores the impact of artificial intelligence (AI) and generative AI (GenAI) on education, particularly on schools and school leaders. It discusses the rapid digitalization of teaching and learning due to the Covid-19 pandemic and the subsequent rise of AI. The development of AI,