Adaptive System: A system that is capable of adjusting its behavior or structure in response to changes in its environment or inputs. This can include learning from past experiences, modifying its processes, or changing its goals to better suit the current situation. Adaptive systems are often used in fields such as engineering, biology, and computer science to create more efficient and effective systems that can adapt to changing conditions.
An adaptive system refers to a type of technology or software that is designed to change and adjust its behaviour based on input or feedback from its environment. This can include machine learning algorithms, artificial intelligence, and other advanced computing systems. In a legal context, adaptive systems may raise issues related to liability, accountability, and regulation, particularly in cases where the system’s behaviour results in harm or damage. Additionally, the use of adaptive systems may also raise concerns about privacy, data protection, and discrimination, as these systems often rely on large amounts of data to make decisions. As such, the legal implications of adaptive systems are complex and may require careful consideration and regulation to ensure their responsible and ethical use.
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This glossary post was last updated: 29th March 2024.
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