Shetty & Mishra on India’s Policy of Integrating AI with Education

Kashvi Shetty (Maharashtra National Law University Mumbai) Pranjal Mishra (Maharashtra National Law University Mumbai) have posted “India’s New Policy Progresses Towards Integrating Ai with Education” on SSRN. Here is the abstract:

The rapid advancement of technology, such as Artificial Intelligence (AI), is transforming all walks of life, including education. It has become an imperative part for nations to integrate the modernization brought about by the boom of technology to sustain and develop itself. India as a developing country has recognized the transformative potential of AI and is rapidly taking appreciable steps towards integrating AI in various fields. Recently, India has approved a new National Education Policy (NEP), which stresses educational issues, such as digital literacy, integrating AI-assisted pedagogy to think creatively, and articulating new directions for research and innovations in the face of an autonomous intermediary. This article will analyze the specific proposition of whether the NEP has ably incorporated the AI systems and technologies in an accessible and inclusive manner. It would also delve into whether the NEP aids in adopting newer technologies, improving the efficiency of academic tasks, embracing cultural differences, and most importantly, working towards improving the digital divide in the country.

Moore on AI Trainers in the Workplace

Phoebe V Moore (University of Leicester) has posted “AI Trainers: Who is the Smart Worker today?” on SSRN. Here is the abstract:

AI is often linked to automation and potential job losses, but it is more suitably described as an augmentation tool for data collection and usage, rather than a stand-alone entity, or in ways that avoid precise definitions. AI machines and systems are seen to demonstrate competences which are increasingly similar to human decision-making and prediction. AI-augmented tools and applications are intended to improve human resources and allow more sophisticated tracking of productivity, attendance and even health data for workers. These tools are often seen to perform much faster and more accurately than humans. What does this mean for workers of the future, however?
If AI does actually become as prevalent and as significant as predictions would have it – and we really do make ourselves the direct mirror reflection of machines, and/or simply resources for fuelling them through the production of datasets via our own supposed intelligence of, e.g., image recognition – then we will have a very real set of problems on our hands. Potentially, workers will only be necessary for machinic maintenance or, as discussed in this chapter, as ‘AI trainers’. How can we prepare ourselves to work with smart machines, and thus to become ourselves, ‘smart workers’?

Stix on AI Governance in the EU

Charlotte Stix (Eindhoven University of Technology; University of Cambridge – Leverhulme Centre for the Future of Intelligence) has posted “The Ghost of AI Governance Past, Present and Future: AI Governance in the European Union” on SSRN. Here is the abstract:

The received wisdom is that artificial intelligence (AI) is a competition between the US and China. In this chapter, the author will examine how the European Union (EU) fits into that mix and what it can offer as a ‘third way’ to govern AI. The chapter presents this by exploring the past, present and future of AI governance in the EU. Section 1 serves to explore and evidence the EU’s coherent and comprehensive approach to AI governance. In short, the EU ensures and encourages ethical, trustworthy and reliable technological development. This will cover a range of key documents and policy tools that lead to the most crucial effort of the EU to date: to regulate AI. Section 2 maps the EU’s drive towards digital sovereignty through the lens of regulation and infrastructure. This covers topics such as the trustworthiness of AI systems, cloud, compute and foreign direct investment. In Section 3, the chapter concludes by offering several considerations to achieve good AI governance in the EU.