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Artificial intelligence (AI) has a range of uses in government. It can be used to further public policy objectives (in areas such as emergency services, health and welfare), as well as assist the public to interact with the government (through the use of virtual assistants , for example).
As early as 2016, the Obama administration had begun to focus on the risks and regulations for artificial intelligence. In a report titled Preparing For the Future of Artificial Intelligence, [153] the National Science and Technology Council set a precedent to allow researchers to continue to develop new AI technologies with few restrictions ...
The Global Partnership on Artificial Intelligence (GPAI, pronounced "gee-pay") is an international initiative established to guide the responsible development and use of artificial intelligence (AI) in a manner that respects human rights and the shared democratic values of its members.
According to a press release, the Texas Responsible Artificial Intelligence Governance Act (TRAIGA) would “establish a comprehensive framework for the ethical development, deployment, and ...
As of the 2020s, e-democracy's landscape continues to evolve alongside advancements in technologies such as artificial intelligence, blockchain, and big data. These technologies promise to expand citizen participation further, enhance transparency, and boost the overall efficiency and responsiveness of democratic governance. [22]
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
Artificial intelligence in education (AIEd) is another vague term, [4] and an interdisciplinary collection of fields which are bundled together, [5] inter alia anthropomorphism, generative artificial intelligence, data-driven decision-making, AI ethics, classroom surveillance, data-privacy and AI literacy. [6]
Data scientist and MIT Technology Review editor Karen Hao praised the book's description of the ethical concerns regarding the labor and history behind artificial intelligence. [ 7 ] Sue Halpern of The New York Review commented that she felt the book shined a light on "dehumanizing extractive practices", [ 8 ] a sentiment which was echoed by ...