Ethics-focused prompt libraries are collections of prompts designed to guide artificial intelligence systems towards ethical behaviour and responsible outcomes. These libraries help ensure that AI-generated content follows moral guidelines, respects privacy, and avoids harmful or biased outputs. They are used by developers and organisations to build safer and more trustworthy AI applications.
Category: Responsible AI
Model Audit Trail Standards
Model audit trail standards are rules and guidelines that define how changes to a model, such as a financial or data model, should be tracked and documented. These standards ensure that every modification, update, or correction is recorded with details about who made the change, when it was made, and what was altered. This helps…
Output Poisoning Risks
Output poisoning risks refer to the dangers that arise when the results or responses generated by a system, such as an AI model, are intentionally manipulated or corrupted. This can happen if someone feeds misleading information into the system or tampers with its outputs to cause harm or confusion. Such risks can undermine trust in…
Response Chain Termination
Response chain termination refers to intentionally stopping a sequence of actions or processes that are triggered in response to an event or input. This is often done to prevent unnecessary steps, avoid errors, or limit the impact of a chain reaction. By terminating a response chain, systems can maintain control and ensure that only the…
Prompt Conflict Resolution
Prompt conflict resolution is the process of quickly identifying and addressing disagreements or misunderstandings between people, teams, or systems to prevent them from escalating. It involves open communication, listening to different perspectives, and working together to find a solution everyone can accept. Effective prompt conflict resolution helps maintain positive relationships and keeps work or discussions…
LLM Output Guardrails
LLM output guardrails are rules or systems that control or filter the responses generated by large language models. They help ensure that the model’s answers are safe, accurate, and appropriate for the intended use. These guardrails can block harmful, biased, or incorrect content before it reaches the end user.
Model Hallucination Analysis
Model hallucination analysis is the process of studying when and why artificial intelligence models, like language models, produce information that is incorrect or made up. It aims to identify patterns, causes, and types of these errors so developers can improve model accuracy. This analysis helps build trust in AI systems by reducing the risk of…
Accountability Tracker
An Accountability Tracker is a tool or system used to monitor progress on tasks, goals or responsibilities. It helps individuals or teams keep track of what needs to be done and who is responsible for each item. By regularly updating the tracker, everyone involved can see what has been completed and what still needs attention,…
Model Bias Detector
A Model Bias Detector is a tool or system designed to find and measure unfair biases in the decisions made by machine learning models. It checks if a model treats different groups of people unfairly based on characteristics like gender, race or age. By identifying these issues, teams can work to make their models more…
Predictive Hiring Tool
A predictive hiring tool is software that uses data and algorithms to help employers identify which job candidates are most likely to succeed in a role. It analyses information from CVs, applications, assessments, and sometimes even social media to predict performance and fit. These tools aim to make hiring decisions fairer and more efficient by…