Ethical AI Frameworks
Guidelines and principles designed to ensure that AI systems are developed and used in a manner that is ethical and responsible.
Guidelines and principles designed to ensure that AI systems are developed and used in a manner that is ethical and responsible.
A cognitive bias where people rely too heavily on their own perspective and experiences when making decisions.
The process of making tools, methods, and knowledge accessible to a broader range of people within an organization or community, allowing non-specialists to participate and contribute meaningfully.
The ability to understand and deal with various business situations, making sound decisions to ensure successful outcomes.
A cognitive bias where people ignore general statistical information in favor of specific information.
The phenomenon where taking a test on material improves long-term retention of that material more than additional study sessions.
A phenomenon where people are more likely to remember information when they are in the same state of consciousness as when they learned it.
The process of encoding sensory input that has particular meaning or can be applied to a context, enabling deeper processing and memory retention.
A role in Agile project management responsible for ensuring the team follows Agile practices, facilitating meetings, and removing obstacles to progress.