Educational Research And Innovation Ai And The Future Of Skills Volume 2 Methods For Evaluating Ai Capabilities

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

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.

Skills are vital for building resilient economies and societies. By helping individuals develop a diverse range of skills and empowering them to apply these skills effectively, skills policies play a crucial role in responding to emerging threats, such as environmental degradation and harmful applications of technologies used to collect, generate, and exchange information. This edition of the Skills Outlook highlights the importance of supporting individuals in acquiring a wide range of skills, at varying levels of proficiency, to promote economic and social resilience. Additionally, the report acknowledges the role of attitudes and dispositions in enabling skills development and effective skills use. It also emphasises the need for policy makers to monitor the costs associated with policies aimed at promoting the green and digital transition, and how the transition affects inequalities. Training opportunities that respond to emerging labour market needs and efforts to facilitate their uptake can promote a just and inclusive green and digital transition. In turn, education systems that equip young people not only with skills but attitudes to manage change can ensure that the green and digital transition is sustainable in the longer term.

This book examines how global technological advances shape the way we work and allocate work today, and how we might do so in the future, exploring advances in robotics, artificial intelligence, green technology and implications for workforce skills and future welfare. It uses Australia as a case study, contrasting the country’s experience to those elsewhere. The book is a cross-disciplinary collaboration that brings together the expertise of engineers, data scientists, economists and sociologists. The reader is offered an overview of the current uses of advanced digital technologies and what it means for today’s workforce, society and economy. The book also looks to the future. Current uses of advanced technologies lag its already existing capability. The contributions note potential future applications of technology and the economic, social and workplace implications of technological change. This book should be of interest to anyone studying and wishing to better understand what work might look like in the future and how we might prepare for likely changes.

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.

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.

Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]