AI Transparency
The degree to which the operations and decisions of an AI system are understandable and explainable to users.
The degree to which the operations and decisions of an AI system are understandable and explainable to users.
Human in the Loop (HITL) integrates human judgment into the decision-making process of AI systems.
Adhering to laws, regulations, and guidelines relevant to business operations and product development.
Artificial Superintelligence (ASI) is a hypothetical AI that surpasses human intelligence and capability in all areas.
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.
A dark pattern where users' activities are tracked without their explicit consent or knowledge.
A pop-up dialog that appears when a user attempts to leave a page or application, which can be used to prevent loss of progress or data, or to confirm user intent.
A strategic framework that designs user experiences to guide behavior and decisions towards desired outcomes.
Explainable AI (XAI) are AI systems that provide clear and understandable explanations for their decisions and actions.