Lifeboat Foundation

The current education landscape requires close collaboration between edtech and AI developers to leverage their expertise and maximize the impact of AI technology in the sector. It also aims to avoid the negative consequences of redundant efforts, wasted resources and less effective solutions. By effectively applying best practices such as clear communication, alignment of goals, and interdisciplinary collaboration, edtech and AI developers can develop innovative, scalable and effective solutions. The “AI and the Future of Learning: Expert Panel Report” underscores key strategies for successful collaboration between edtech and AI developers. The report highlights key strengths and weaknesses of AI as well as the respective opportunities and barriers to employing AI technologies in the education sector.

Education plays a critical role in promoting social and economic development in a region, and when communities recognize its potential, they are more likely to support educational reforms. These reforms can address any challenges in the sector, such as funding constraints, lack of access to quality education and cultural attitudes that may deny education to particular groups. With the increased adoption of AI in the education sector, potential future developments—including ITS, adaptive assessment, gamification and the use of machine learning—can promote the efficiency of personalized learning.

In the long run, the collaboration between edtech and AI developers holds great potential for transforming education and improving learning outcomes. For this to happen, it is necessary to establish industry standards for AI in education, foster interdisciplinary collaboration between educators and AI experts, and invest in research on AI’s impact on learning outcomes. In this way, we can ensure that AI-powered tools are used effectively and ethically to improve student learning in the 21st century.

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On his appointment, he said, It is really a great honour and privilege to be part of the Board of the Data Lab Scotland’s Artificial Intelligence and data to help contribute and provide strategic direction to the leadership of the Lab.

I am deeply humbled for this opportunity to contribute and help unlock the rich opportunities for AI and data, not just in Scotland, UK and across the world, by bringing industry, academia and public sector to harness opportunities, connect people and ideas, develop knowledge and expertise for the good of humanity and society-creating a better and sustainable economy and society.

The Nigerian-British man stressed his love for data and AI, saying, I am deeply passionate and intentional about data, AI, transformation, innovation, education, technology, inclusion, social and global mobility.

According to 81% of hospital CIOs surveyed by my company, security vulnerability is the leading pain point driving legacy data management decisions. That’s no surprise as healthcare continues to rank as one of the most cyber-attacked industries year over year. In a study by the Health Information and Management Systems Society (HIMSS), 80% of healthcare organizations reported having legacy operating systems in place. Cybersecurity in healthcare is increasingly becoming a chronic condition.

The Cybersecurity and Infrastructure Security Agency (CISA), which measures risk to critical national infrastructure, says legacy software ranks as a dangerous “bad practice.” That’s because the use of unsupported or end-of-life legacy systems offers some of the easiest entry points for bad actors to gain access and cause havoc within a medical environment. With the average price tag for a healthcare data breach at an all-time high of $10.1 million, the overall cost to a breached organization is high in terms of economic loss and reputation repair.

To fortify defenses against cyberattacks, here are some tips for addressing out-of-production software in healthcare facilities.

AI is everywhere. Its use is being debated in headlines, on social media and around dinner tables. To some, the rate of AI acceleration is concerning, with many technology leaders calling for a six-month pause in the training of new systems to better understand the impact such tools are having. To others, AI is seen as the cornerstone of the fourth industrial revolution, the latest disruptive technology opening up possibilities for new ways of learning, working and living that we have never experienced before.

Yet, disruptive technologies are nothing new. They have been changing the way we live and work for decades. And these changes have not been without consequences, particularly in the form of economic dislocation and social upheaval. Automation in manufacturing has streamlined mass production and driven down costs; Ecommerce platforms have reshaped the way we shop and do business; even online education has found new ways to provide flexible and affordable ways of learning, delivering opportunities to millions across the globe that simply were not available before.

Presently, much of the discussion around the impact of AI is based on conjecture. However, it is widely agreed that it will have a major impact on jobs and even has the potential to call into question the very fundamentals of what work is. What is not understood is how AI will play out across society in the longer term. Will it, like previous technological revolutions, deliver short-term disruptions followed by long-term benefits, or will it be the catalyst for new ways of learning and upskilling and help reduce the widening digital divide?

Joscha Bach is a cognitive scientist focusing on cognitive architectures, consciousness, models of mental representation, emotion, motivation and sociality.

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Long considered the lifeline of the world’s most populous country, the 170-year-old system has seen rapid expansion and modernisation under Prime Minister Narendra Modi’s push to boost infrastructure and connectivity in the fast-growing economy.

This year, the government made a record 2.4-trillion-rupee ($30 billion) capital outlay for the railways, a 50% increase over the previous fiscal year, to upgrade tracks, ease congestion and add new trains.

A new, semi-high-speed train built in India and called the “Vande Bharat Express”, or “Salute to India Express”, is showcased as evidence of this modernisation, with Modi himself flagging off the first journeys of many of the trains around the country.

Overcoming AI Technophobia

Currently, there is a public surge of interest in AI topics, especially in Large Language Models, like ChatGPT. This is not a random development.

AI is here to stay and will have huge social and economic implications, seen as both a blessing and a curse. In view of its potential dangers, many AI scientists have expressed concern over AI developments that border on technophobia. But there is a means of defending ourselves from the dark side of AI as expressed in dystopian science fiction.

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These high-performance magnets, used in wind turbines and electric vehicles, are vital for building a zero-carbon economy. Currently, the best permanent magnets available require rare earth elements.