Educational Research And Innovation Computers And The Future Of Skill Demand

Computer scientists are working on reproducing all human skills using artificial intelligence, machine learning and robotics. Unsurprisingly then, many people worry that these advances will dramatically change work skills in the years ahead and perhaps leave many workers unemployable.

Computer scientists are working on reproducing all human skills using artificial intelligence, machine learning and robotics. Unsurprisingly then, many people worry that these advances will dramatically change work skills in the years ahead and perhaps leave many workers unemployable. This report develops a new approach to understanding these computer capabilities by using a test based on the OECD's Survey of Adult Skills (PIAAC) to compare computers with human workers. The test assesses three skills that are widely used at work and are an important focus of education: literacy, numeracy and problem solving with computers. Most workers in OECD countries use the three skills every day. However, computers are close to reproducing these skills at the proficiency level of most adults in the workforce. Only 13% of workers now use these skills on a daily basis with a proficiency that is clearly higher than computers. The findings raise troubling questions about whether most workers will be able to acquire the skills they need as these new computer capabilities are increasingly used over the next few decades. To answer those questions, the report's approach could be extended across the full range of work skills. We need to know how computers and people compare across all skills to develop successful policies for work and education for the future.

Artificial intelligence (AI) and robotics are major breakthrough technologies that are transforming the economy and society. The OECD’s Artificial Intelligence and the Future of Skills (AIFS) project is developing a programme to assess the capabilities of AI and robotics, and their impact on education and work.

This volume describes the second phase of the project: exploring three different approaches to assessing AI.

Advances in artificial intelligence (AI) are ushering in a large and rapid technological transformation. Understanding how AI capabilities relate to human skills and how they develop over time is crucial for understanding this process.

Inspired by the ground-breaking 2001 Schooling for Tomorrow scenarios, this book provides a set of scenarios on the future of schooling, showing not a single path into the future, but many. Using these scenarios can help us identify the opportunities and challenges that these futures could hold for schooling and education more broadly. We can then use those ideas to help us better prepare and act now.

The Austrian higher education system has consistently recognised the need to become more entrepreneurial and innovative with a view to supporting the economic, social and cultural development of the country and its regions. Over the past decades, the government has been implementing a broad reform agenda to provide strategic funding, diversify higher education institutions (HEIs) and promote an allocation of students that improves the quality of services and empowers them vis à vis the future of work and society. This review illustrates policy actions promoting the development of entrepreneurial and innovative activities in the Higher Education System and individual HEIs.