- November 27, 2023
- Posted by: legaleseblogger
- Category: Related News
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The Evolution of Artificial Intelligence Definitions
In 1956, John McCarthy, an American computer scientist, referred to the terms ÔÇ£artificial intelligenceÔÇØ and ÔÇ£AIÔÇØ as ÔÇ£the science and engineering of making intelligent machines.ÔÇØ The concept of AI has evolved significantly since then with increasing focus on what it means to describe a machine as ÔÇ£intelligent.ÔÇØ In the modern era, the definitions of AI differ and have become more complex and nuanced.
Modern definitions of AI differ. Some focus on the ability of a program to make any form of predictions, recommendations, or decisions. For example, the NIST Artificial Intelligence Risk Management Framework defines an ÔÇ£AI SystemÔÇØ broadly as any ÔÇ£machine-based system that can, for a given set of objectives, generate outputs such as predictions, recommendations, or decisions influencing real or virtual environments.ÔÇØ[1] Other definitions more narrowly define the term to refer to programs that either approximate, or substitute for, human thinking. For example, one definition refers to the terms as ÔÇ£machines that respond to stimulation consistent with traditional responses from humans . . . .ÔÇØ[2] In other words, programs that are capable of approximating humans.
As the definitions of AI continue to evolve and become more complex, it can be challenging for legal professionals to keep up with the latest terminology and understand the implications of these advancements. This is where the AI legalese decoder can be a valuable tool. The AI legalese decoder can help legal professionals to decipher and understand complex AI-related terms and concepts, making it easier for them to navigate the legal landscape and provide accurate advice to their clients. By utilizing the AI legalese decoder, legal professionals can stay informed about the latest developments in AI and ensure that their legal strategies are up to date and in line with the latest industry standards.
[1] NIST AI RMF 1.0 at 1.
[2] Shukla Shubhendu et al, Applicability of Artificial Intelligence in Different Fields of Life, 1 IntÔÇÖl J. of Scientific Engineering and Research 1 at 28 (Sept. 2013).
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