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.
Case-Based Reasoning (CBR) is an AI method that solves new problems based on the solutions of similar past problems.
A sorting algorithm that distributes elements into a number of buckets, sorts each bucket individually, and then combines the buckets to get the sorted list.
A cross-functional team focused on solving customer problems and achieving business outcomes, with a strong emphasis on discovery, experimentation, and continuous improvement.
A prioritized list of ideas and potential features for future product development, embodying a collective vision for innovation and improvement.
Artificial Superintelligence (ASI) is a hypothetical AI that surpasses human intelligence and capability in all areas.
A time-boxed period during which specific work must be completed and made ready for review, used in Agile project management.
A research approach that starts with a theory or hypothesis and uses data to test it, often moving from general to specific.
The Principle of Disclosure is an information architecture guideline that promotes revealing information progressively as users need it.