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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).
The companies committed to ensure AI products undergo both internal and external security testing before public release; to share information on the management of AI risks with the industry, governments, civil society, and academia; to prioritize cybersecurity and protect proprietary AI system components; to develop mechanisms to inform users ...
The Government has set out its “adaptable” approach to regulating artificial intelligence, as it hopes to build public trust in the rapidly developing technology and tap its economic potential ...
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, [2] the National Science and Technology Council set a precedent to allow researchers to continue to develop new AI technologies with few restrictions. It ...
Out of the gate, the EU's proposed rules outlaw a number of forms of AI including those used to categorize people based on characteristics including race, gender, and religion; predictive policing ...
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]
U.S. intelligence agencies are scrambling to embrace the AI revolution, convinced they’ll otherwise be smothered in data as sensor-generated surveillance tech further blankets the planet. Years ...
Most artificial intelligence systems involve some sort of integrated technologies, for example, the integration of speech synthesis technologies with that of speech recognition. However, in recent years, there has been an increasing discussion on the importance of systems integration as a field in its own right.