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[b] AI also draws upon psychology, linguistics, philosophy, neuroscience, and other fields. [5] Artificial intelligence was founded as an academic discipline in 1956, [6] and the field went through multiple cycles of optimism throughout its history, [7] [8] followed by periods of disappointment and loss of funding, known as AI winters.
As these technologies emerge, so have different attempts at defining AI literacy - the ability to understand the basic techniques and concepts behind AI in different products and services. [23] Many framings leverage existing digital literacy frameworks and apply an AI lens to the skills and competencies. Common elements of these frameworks ...
Artificial intelligence engineering (AI engineering) is a technical discipline that focuses on the design, development, and deployment of AI systems. AI engineering involves applying engineering principles and methodologies to create scalable, efficient, and reliable AI-based solutions.
This is the AI HLEG's second deliverable, after the April 2019 publication of the "Ethics Guidelines for Trustworthy AI". The June AI HLEG recommendations cover four principal subjects: humans and society at large, research and academia, the private sector, and the public sector. [79]
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