Technology Ethics
The study and application of ethical considerations in the development, implementation, and use of technology.
The study and application of ethical considerations in the development, implementation, and use of technology.
Trust, Risk, and Security Management (TRiSM) is a framework for managing the trust, risk, and security of AI systems to ensure they are safe, reliable, and ethical.
Guidelines and principles designed to ensure that AI systems are developed and used in a manner that is ethical and responsible.
The degree to which the operations and decisions of an AI system are understandable and explainable to users.
A decentralized digital ledger that records transactions across many computers in a way that ensures the security and transparency of data.
The practice of developing artificial intelligence systems that are fair, transparent, and respect user privacy and rights.
A brand that is supported by a stronger brand, typically a parent brand, which lends its credibility.
Reasons to Believe (RTB) is a marketing concept that refers to the evidence or arguments that support a product's claims and persuade consumers of its benefits.
The practice of collecting, processing, and using data in ways that respect privacy, consent, and the well-being of individuals.