Digital Change

AI ethics: In this governance guide, you’ll understand why 8 principles are critical: 1) transparency ensuring system decision processes remain explainable to affected parties, 2) fairness preventing discrimination against protected characteristics or vulnerable groups, 3) accountability establishing clear responsibility for algorithmic outcomes and impacts, 4) privacy protecting sensitive personal information from improper use or exposure, 5) reliability ensuring consistent performance within established parameters, 6) safety preventing physical or psychological harm to humans, 7) inclusivity considering diverse needs across demographics and abilities, 8) human oversight maintaining meaningful human control over autonomous systems.

AI writing: In this creative guide, you’ll discover 7 transformation methods: 1) prompt engineering directing specific outputs through strategic input design, 2) language model selection matching capabilities to content requirements, 3) temperature adjustment controlling creativity versus predictability balance, 4) contextual framing establishing background information and tone, 5) iterative refinement improving outputs through targeted feedback, 6) specialized fine-tuning adapting general models to specific writing domains, 7) human-AI collaboration combining algorithmic suggestions with human judgment.

OpenAI develops large language models and general-purpose AI systems that understand and generate human-like text, code, and creative content, enabling natural interactions between humans and machines through sophisticated neural networks.

AI prompt engineering: In this technical guide, you’ll learn how 7 strategies work: 1) context priming establishing relevant background information, 2) instruction clarity specifying exact desired outputs, 3) format structuring organizing response presentation, 4) example inclusion demonstrating expected patterns, 5) constraint definition limiting unwanted outputs, 6) chain decomposition breaking complex tasks into manageable steps, 7) feedback refinement iteratively improving results through targeted adjustments.