Education

Canada. How Are Educators Navigating the AI Revolution? (Report)
In this research, we examine whether post-secondary educators are using generative AI tools in their teaching practice and discuss their concerns about this emerging technology. Are they worried that students will use generative AI to cheat or submit unoriginal work? Do they believe AI tools will negatively impact students’ critical thinking skills and ability to learn for themselves? What guidance are post-secondary institutions offering educators regarding the use of generative AI? 
En français. Canada. Comment les éducateurs s’adaptent-ils à la révolution de l’IA?
Source: Future Skills Centre

Canada/Ontario. Using Generative AI to Make Learning More Accessible: Insights from Ontario PSE Students and Staff (Report)
Realizing GenAI’s potential to improve accessibility in post-secondary education requires clarity and collaboration among students, instructors and support staff.
En français. Canada/Ontario. Utiliser l’IA générative pour un apprentissage plus accessible : Points de vue des étudiant·es et du personnel de l’enseignement postsecondaire de l’Ontario
Source: HEQCO – Higher Education Quality Council of Ontario

Africa. ‘AI exclusion’ continues to the detriment of Africa’s graduates (Article)
Over the past decade, generative artificial intelligence has become a powerful tool for creating jobs for tertiary-educated youth in Africa, but challenges of digital work on the continent remain.
Source: University World News

Latin America and the Caribbean. AI Revolution in Education: What You Need to Know (Report)
This brief explores nine key AI-driven innovations, divided into solutions for teachers, students, and administration. For teachers, AI-powered mentors and feedback systems are improving teacher recruitment, retention, and professional development. AI-assisted lesson planning and automated administrative tasks are empowering educators to focus on teaching and mentoring students. Students benefit from AI-powered tutoring systems that adapt to their individual needs. The brief also examines the use of generative AI for assignments and the need to foster responsible AI use. 
Source: World Bank 

AI and digital neocolonialism: Unintended impacts on universities (Article)
As AI technologies become embedded in educational practices, content creation, and research methodologies, they open up significant opportunities for innovation while also posing collective challenges. Importantly, the evolution of AI also risks reinforcing neocolonial patterns, underscoring the complex ethical implications associated with their deployment and broader impact.
Source: University World News

Supporting students in the age of GenAI (Article)
Universities need to rethink student discipline when it comes to reinforcing academic integrity.
En français. Accompagner la population étudiante à l’ère de l’IA générative 
Source: Universities Affairs

No More Tests? Working With, Against and Around AI (Article)
To date, most of the tasks are performed by humans. Instructional designers, teachers, professors and teaching assistants identify the learning objectives, design the assessment, carry out the test or assignment or case study, and assess the results.
But what if there was a better way?
Source: Contact North

Study shows the importance of student guidance in use of AI (Article)
In Critical Minds: Enhancing education with ChatGPT, we argue that the use of these AI tools represents a new challenge, similar to the advent of the internet or search engines like Google or Yahoo in the last decades of the 20th century. It is a game-changer.
Source: University World News
Related paper Critical minds: enhancing education with ChatGPT (Paper)
Source: Cogent Education

The world needs a ‘premortem’ on generative AI and its use in education (Article) 
Generative AI technology can and will have unanticipated consequences for the world. Rather than wait for its widespread adoption to study the effects of this technology, the Center for Universal Education has launched a task force aimed at anticipating its effects on education.
Source: Brookings Institution

Why Open Education Will Become Generative AI Education (Video)
Generative AI is, or soon will be, a more effective tool for increasing access to educational opportunities than OER (as we have understood them for the last 25 years).
Source: Youtube/David Wiley

International education needs to join the AI conversation (Article)
Even technologists cannot predict the societal effects of the current wave of artificial intelligence. So, we need to set the agenda for research to address the increasing gap between international education research and technology, and debunk common misconceptions to make it seem ‘less scary’.
Source: University World News

The evolving role of artificial intelligence in education: the past, present and future (Paper)
This paper explores the evolving role of artificial intelligence (AI) in education and its potential future impact. The paper conducts a systematic review of relevant research papers and articles to explore the historical and current applications of AI in education and predict future developments in the field. 
Source: IJMER – International Journal of Multidisciplinary Educational Research

Man vs Machine: Can AI Grade and Give Feedback Like a Human? (Paper)
Grading and providing feedback are two of the most time-consuming activities in education. We developed a randomised controlled trial (RCT) to test whether they could be performed by generative artificial intelligence (Gen-AI). Overall, while the newest LLM helps learning as well as a human, its ability to grade student work is still inferior.
Source: IZA Institute of Labor Economics

ChatGPT in Teaching and Learning: A Systematic Review (Paper)
Our research sheds light on the significant impact of ChatGPT on improving student engagement and accessibility and the critical issues that need to be considered, including concerns about the quality and bias of generated responses, the risk of plagiarism, and the authenticity of educational content. The study aims to summarize the utilizations of ChatGPT in teaching and learning by addressing the identified benefits and challenges through targeted strategies. 
Source: Education Sciences

Beyond the Bot: ChatGPT's Influence on Student Learning (Paper)
Given the widespread use of ChatGPT among university students, questions arise about its potential benefits and drawbacks. Findings revealed that most students learned about ChatGPT primarily through social media, followed by friends and lecturers. While students acknowledged ChatGPT's ability to simplify and filter information, aiding in their understanding of topics, they also expressed concerns about increased dependency, potential laziness, and a decline in writing and critical thinking skills. Furthermore, students felt that ChatGPT could not replace higher education or lecturers due to its lack of emotional understanding. They also emphasized the impracticality of banning its use. Instead, they suggested that universities should explore ways to regulate its use, with specific recommendations discussed in the article. Lastly, students recognized the importance of learning to use ChatGPT, citing potential job requirements and their utility in assisting with assignments and learning.
Source: IJEMST – International Journal of Education in Mathematics, Science, and Technology

Professional training 

Canada. Experimental Estimates of Potential Artificial Intelligence Occupational Exposure in Canada (Report)
This study provides experimental estimates of the number and percentage of workers in Canada potentially susceptible to AI-related job transformation based on the complementarity-adjusted AI occupational exposure index.
En français. Canada. Estimations expérimentales de l’exposition professionnelle potentielle à l’intelligence artificielle au Canada
Source: Statistics Canada

Canada. Unleashing AI into the skills development ecosystem (Report) 
Key Insights 
– To reap the benefits that AI has to offer, its adoption and deployment should be a collaborative and inclusive process that recognizes and addresses genuine concerns individuals have about AI and technology more broadly. 
– The absence of an inclusive AI deployment strategy and disregard for its inherent biases risk exacerbating existing inequities. 
– AI tools have bolstered outcomes in skills matching, career development guidance, and recruitment. The overall effectiveness of these tools was underpinned by recognizing and mitigating the inherent bias and discrimination embedded into these technologies.  
– Given the breadth of AI’s impact on the world of work, AI skills will become increasingly relevant. 
Source: Future Skills Centre

Canada. Artificial intelligence and the changing demand for skills in Canada (Report)
This report provides first estimates on the effect of artificial intelligence on the demand for skills in jobs that do not require specialised AI skills. The results show that the skills most demanded in occupations highly exposed to AI are management, communication and digital skills.
Source: OECD – Organisation for Economic Co-operation and Development

EU. AI and the EU skilling challenge: First insights from Cedefop’s AI skills survey (Survey)
The survey paints a very diverse picture of how AI is perceived and adopted by workers and businesses across countries, reflecting an existing digital divide. This underscores the importance of targeted policies and investment in digital skills and lifelong learning to ensure that all workers and businesses can effectively leverage AI for growth and competitiveness.
Source: CEDEFOP – European Centre for the Development of Vocational Training

The gen AI skills revolution: Rethinking your talent strategy (Article)
If every company needs to be a software company, do you have a software organization that can deliver? The answer to that question could be decisive for the future of many companies.
Source: McKinsey

AI In Corporate Training (Book)
Gone are the days of dusty textbooks and monotonous lectures. Technology is revolutionizing corporate training, and Artificial Intelligence is poised to play a pivotal role. But here's the surprising truth: AI won't replace human trainers. Instead, it will become a powerful ally, transforming how we learn and adapt within organizations. This eBook delves into the dynamic partnership between AI and Learning and Development professionals.
Source: eLearning Industry

Digital Transformation in VET: Shaping the Future of Learning and Engagement (Article)
Artificial Intelligence (AI) is already being used in education and training, whether we like it or not. This reality underscores the importance of adopting clear policies and procedures to guide its use, ensuring staff utilise AI responsibly and transparently, rather than in the shadows. By establishing a framework for ethical and effective AI integration, RTOs can harness its full potential to enhance learning outcomes and maintain trust.
Source: LinkedIn

AI Adoption and Workplace Training (Paper)
This paper investigates the impact of artificial intelligence (AI) adoption in production processes on workplace training practices. The findings reveal that AI adoption reduces the provision of continuing training for incumbent workers while increasing the share of high-skilled new hires and decreasing medium-skilled hires, thereby contributing to skill polarization. However, AI adoption also increases the number of apprenticeship contracts, particularly in small and medium-sized enterprises (SMEs), underscoring the ongoing importance of apprenticeships in preparing future workers with the skills needed to apply AI in production.
Source: IZA – Institute of Labor Economics

AI in Instructional Design: What Works, What Doesn't, and What Could be Dangerous (Webinar recording)
Throughout the webinar, we'll delve into practical, real-world examples of AI implementation in adult learning settings. Attendees will learn how to leverage AI tools to streamline workflow, improve learner engagement, and create more inclusive educational content. We'll also discuss critical ethical considerations, including data privacy concerns, the potential for bias in AI-generated content, and the importance of maintaining human oversight in the learning process. 
Source: Training Magazine

Artificial Intelligence and Recognition of Qualifications: Opportunities and Risks from an ENIC-NARIC Perspective (Report)
The scope of the document is to contribute to the discussion on the use of Artificial Intelligence in education and in particular in the sector of recognition, by identifying and analysing some of the key questions that this use can pose, rather than necessarily providing ready solutions or all the answers.
Source: CIMEA –  Information Centre on Academic Mobility and Equivalence

Way Forward and the Future of Work

Canada. Artificial Intelligence Talent in Canada: Emerging AI Skills and Future Workforce (Brief)
Canada has been a leader in the research and development of artificial intelligence (AI) for decades. We are already seeing a shift in the Canadian AI job market toward more specialized, core AI skills—skills that are only and directly applicable to developing and using AI technologies. What else do Canadian businesses need to do to remain competitive? What is the core issue in advancing Canada’s lagging AI adoption? What will it take for Canada to produce best-in-class AI talent?
En français. Canada. Les talents en intelligence artificielle au Canada : Compétences émergentes en matière d’IA et main-d’œuvre de l’avenir
Source: Future Skills Centre

Canada. Artificial Intelligence at Work: The Shifting Landscape of Future Skills and the Future of Work Insights From the Survey of Employment and Skills (Report)
Canada is a leading talent hub for artificial intelligence (AI). Despite this, Canada is falling behind globally in AI adoption. However, the top barrier is a difficulty in finding employees with the necessary skills and expertise to support the integration of this technology into operations. If the data shows that there are plenty of AI professionals in Canada ready to work, why are employers experiencing this difficulty?
En français. Canada. L’intelligence artificielle au travail : l’évolution des compétences futures et l’avenir du travail
Source: Future Skills Centre

Canada. Waiting for Takeoff: The short-term impact of AI adoption on firm productivity (Report)
BOLD IDEA: Many private-sector and policy leaders are betting big on AI as the silver bullet for Canada’s productivity crisis, but AI is a long game, not a quick fix. Companies must integrate it thoughtfully into their operations to see real gains.
Source: Toronto Metropolitan University

USA. Generative AI, the American worker, and the future of work (Report)
Existing generative AI technology already has the potential to significantly disrupt a wide range of jobs. We find that more than 30% of all workers could see at least 50% of their occupation’s tasks disrupted by generative AI. The report emphasizes the importance of developing strategies to proactively shape AI’s impact on work and workers. This includes fostering worker engagement in AI design and implementation, enhancing worker voice through unions or other means, and developing public policies that ensure workers benefit from AI while mitigating harms such as job loss and inequality.
Source: Brookings Institution

USA. Artificial Intelligence and the Future of Work (Report)
The report evaluates recent advances in AI technology and their implications for economic productivity, the workforce, and education in the United States. The report notes that AI is a tool with the potential to enhance human labor and create new forms of valuable work – but this is not an inevitable outcome. Tracking progress in AI and its impacts on the workforce will be critical to helping inform and equip workers and policymakers to flexibly respond to AI developments.
Source: National Academies of Sciences, Engineering, and Medicine

Africa. AI and the Future of Work in Africa (Paper)
Generative AI presents a powerful tool for shaping a dignified future of work in Africa. By proactively addressing the challenges and harnessing the opportunities, Africa can leverage AI to drive economic growth, empower its workforce, and become a leader in socially responsible AI development.
Source: AUDA-NEPAD- African Union Development Agency 

What’s the ROI in AI? (Webinar recording)
Artificial Intelligence (AI) is revolutionizing the way we work, learn, communicate, and connect, reshaping almost every aspect of our lives. The question is, how can users ensure they are maximizing AI’s value? A recent survey revealed that nearly half of the respondents cited difficulties in demonstrating its value. At its core, ROI is a financial metric that compares the benefits of an investment to its cost. Simply put, when investing in AI, the returns should outweigh the costs.
Source: Training Magazine Network

Who will be the workers most affected by AI? (Paper)
A closer look at the impact of AI on women, low-skilled workers and other groups. This paper examines how different socio-demographic groups experience AI at work and offers insights on how to ensure that the transition to an AI-driven workforce is inclusive and equitable. 
Source: OECD – Organisation for Economic Co-operation and Development

Artificial intelligence and the changing demand for skills in the labour market (Paper)
Most workers who will be exposed to artificial intelligence (AI) will not require specialised AI skills (e.g. machine learning, natural language processing, etc.). Even so, AI will change the tasks these workers do, and the skills they require. This report provides first estimates for the effect of artificial intelligence on the demand for skills in jobs that do not require specialised AI skills. The results show that the skills most demanded in occupations highly exposed to AI are management and business skills. 
Source: OECD – Organisation for Economic Co-operation and Development

Must-Have Competencies and Skills in Our New AI World: A Synthesis for Educational Reform (Article)
The transformative impact of artificial intelligence on educational systems calls for a comprehensive reform to prepare future generations for an AI-integrated world.
Source: Educause

Gen-AI: Artificial Intelligence and the Future of Work (Discussion Note)
Artificial Intelligence (AI) has the potential to reshape the global economy, especially in the realm of labor markets. Advanced economies will experience the benefits and pitfalls of AI sooner than emerging market and developing economies, largely due to their employment structure focused on cognitive-intensive roles.
Source: IMF – International Monetary Fund

Gen AI’s next inflection point: From employee experimentation to organizational transformation (Article)
As many employees adopt generative AI at work, companies struggle to follow suit. To capture value from current momentum, businesses must transform their processes, structures, and approach to talent.
Source: McKinsey Insights

The AI We Deserve (Article)
For a technology that seemed to materialize out of thin air, generative AI has had a remarkable two-year rise. It’s hard to believe that it was only on November 30, 2022, when ChatGPT, still the public face of this revolution, became widely available. There has been a lot of hype, and more is surely to come, despite talk of a bubble now on the verge of bursting. The hawkers do have a point. Generative AI is upending many an industry, and many people find it both shockingly powerful and shockingly helpful.
Source: Boston Review 

Canada/Québec. Generative Artificial Intelligence in Higher Education: Pedagogical and Ethical Issues (Summary)
20 recommendations to ensure the judicious use of generative AI in Québec colleges and universities, should its use be normalized.
En français. Canada/Québec. Intelligence artificielle générative en enseignement supérieur : enjeux pédagogiques et éthiques
Source: Conseil supérieur de l'éducation

UK. Addressing student non-compliance in AI use declarations: implications for academic integrity and assessment in higher education (Paper)
This study examines the factors driving student non-compliance with AI use declarations in academic assessments at King’s Business School, where 74% of students failed to declare AI usage despite declaration being a requirement of a mandatory coursework coversheet. 
Source: Assessment & Evaluation in Higher Education 

Europe. AI in qualification recognition: Risks vs opportunities (Article)
The debate about the risks and opportunities of artificial intelligence involves many sectors of society. Higher education is one of them and the recognition of qualifications is one part of it.
Source: University World News

AI at Work 2024: Friend and Foe (Report)
The rapid adoption of classic AI and GenAI in businesses is creating a split-screen effect: 
– Employees are reporting increasing confidence in these tools over the past year as they use the tools more frequently. About half of employees are saving at least five hours a week by using GenAI at work.
– Employees who regularly use GenAI tools are more likely than others to worry about job loss. Overall, 49% of regular users believe that their job may disappear in the next ten years, compared with only 24% of employees who do not use GenAI.
Source: Boston Consulting Group

New AI Tools Are Promoted as Study Aids for Students. Are They Doing More Harm Than Good? (Article)
Students are gravitating to new AI tools to help them with their schoolwork — to make flashcards or even turn their lecture notes into podcasts read by bots. But do the productivity tools take away the “friction” required for learning?
Source: EdSurge

Youth and Peace in the Age of AI (Paper)
The challenge is a creative and thought-provoking initiative designed to engage young minds in imagining the future role of artificial intelligence (AI) in international peace and security in the year 2145 where AI would have been taken onboard by militaries around the world. Youth authors reflected on how AI could be used in or to prevent armed conflicts, its potential interactions with other emerging technologies, potential risks and positive scenarios in which AI is leveraged for good in the military domain.
Source: UNODA – United Nations Office for Disarmament Affairs 

Is AI progress stuck? (Video)
Will progress in artificial intelligence continue to accelerate, or have we already hit a plateau? Computer scientist Jennifer Golbeck interrogates some of the most high-profile claims about the promises and pitfalls of AI, cutting through the hype to clarify what's worth getting excited about — and what isn't. 
Source: Ted Talk

AI Detection: Falsely Accused of Using ChatGPT for Academic Writing (Infographic)
No AI detector can be absolutely accurate. More often, the probability of error is only a few percent, but this still means only one thing—every college student is at risk of getting into a highly unpleasant and even dangerous situation for their academic path. Read our experts‘ tips to learn how to effectively protect yourself and prove that you have maintained academic integrity.
Source: Submitted by Yvonne McQuarrie, IvyPanda

Assessing potential future artificial intelligence risks, benefits and policy imperatives (Report)
This report distils research and expert insights on prospective AI benefits, risks and policy imperatives. It identifies ten priority benefits, such as accelerated scientific progress, productivity gains and better sense-making and forecasting. It discusses ten priority risks, such as facilitation of increasingly sophisticated cyberattacks; manipulation, disinformation, fraud and resulting harms to democracy; concentration of power; incidents in critical systems and exacerbated inequality and poverty. Finally, it points to ten policy priorities, including establishing clearer liability rules, drawing AI “red lines”, investing in AI safety and ensuring adequate risk management procedures. The report reviews existing public policy and governance efforts and remaining gaps.
Source: OECD – Organisation for Economic Co-operation and Development

What are the risks from Artificial Intelligence? (Database)
A comprehensive database of over 700 AI risks categorized by their cause and risk domain.
– The AI Risk Database captures 700+ risks extracted from 43 existing frameworks. 
– The Causal Taxonomy of AI Risks classifies how, when, and why these risks occur. 
– The Domain Taxonomy of AI Risks classifies these risks into seven domains (e.g., “Misinformation”) and 23 subdomains (e.g., “False or misleading information”).
Source: MIT

Three Reasons Why AI May Widen Global Inequality (Article)
While AI will, hopefully, boost macro-level productivity, it could widen income disparities within countries, benefiting highly skilled workers, displacing lower-skilled jobs in repetitive tasks, and concentrating wealth among those who control the technology. But the bigger, and far-less explored, concern is the inequality AI could amplify between nations.
Source: CGD – Center for Global Development

The carbon emissions of writing and illustrating are lower for AI than for humans (Paper)
Our findings reveal that AI systems emit between 130 and 1500 times less CO2e per page of text generated compared to human writers, while AI illustration systems emit between 310 and 2900 times less CO2e per image than their human counterparts. In addition, AI is not a substitute for all human tasks. Nevertheless, at present, the use of AI holds the potential to carry out several major activities at much lower emission levels than can humans.
Source: Nature

AI’s carbon footprint is bigger than you think (Article)
There’s one thing people aren’t talking enough about, and that’s the carbon footprint of AI. One part of the reason is that big tech companies don’t share the carbon footprint of training and using their massive models, and we don’t have standardized ways of measuring the emissions AI is responsible for. And while we know training AI models is highly polluting, the emissions attributable to using AI have been a missing piece so far. 
Source: MIT Technology Review