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The AI in education community has grown rapidly in the global north. [19] Currently, there is much hype from venture capital, big tech and convinced open educationalists. AI in education is a contested terrain. Some educationalists believe that AI will remove the obstacle of "access to expertise". [20]
A 2022 expert survey with a 17% response rate gave a median expectation of 5–10% for the possibility of human extinction from artificial intelligence. [15] [120] In September 2024, The International Institute for Management Development launched an AI Safety Clock to gauge the likelihood of AI-caused disaster, beginning at 29 minutes to ...
Due to the COVID-19 pandemic in the United Kingdom, all secondary education examinations due to be held in 2020 were cancelled.As a result, an alternative method had to be designed and implemented at short notice to determine the qualification grades to be awarded to students for that year.
To address ethical challenges in artificial intelligence, developers have introduced various systems designed to ensure responsible AI behavior. Examples include Nvidia's [143] Llama Guard, which focuses on improving the safety and alignment of large AI models, [144] and Preamble's customizable guardrail platform. [145]
Artificial Intelligence projects can have their ethical permissibility tested while designing, developing, and implementing an AI system. An AI framework such as the Care and Act Framework containing the SUM values—developed by the Alan Turing Institute tests projects in four main areas: [315] [316] Respect the dignity of individual people
The global digital divide is a special case of the digital divide; the focus is set on the fact that "Internet has developed unevenly throughout the world" [14]: 681 causing some countries to fall behind in technology, education, labor, democracy, and tourism.
Many hazards of AI are psychosocial due to its potential to cause changes in work organization. These include changes in the skills required of workers, [ 1 ] increased monitoring leading to micromanagement , algorithms unintentionally or intentionally mimicking undesirable human biases , and assigning blame for machine errors to the human ...
AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment, which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability.