// MODEL OPTIMIZATION AND PROMPT SYNTAX TERM
Impact Assessment
A study to predict and evaluate the potential positive and negative effects of an AI system on individuals, groups, or society.
TECHNICAL DEFINITION
An Impact Assessment in AI is a systematic process of identifying, analyzing, and evaluating the potential societal, ethical, economic, and human rights consequences, both positive and negative, of deploying an artificial intelligence system before its implementation.
BACKGROUND
Generative artificial intelligence (GenAI) is a subfield of artificial intelligence (AI) that uses generative models to generate text, images, videos, audio, software code or other forms of data. These models learn the underlying patterns and structures of their training data, and use them to generate new data in response to input, which often takes the form of natural language prompts.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- AI impact analysis
- ethical impact assessment
- societal impact review
USAGE NOTE
Conducting an AI impact assessment is a proactive step to identify and mitigate potential harms.
DEVELOPERS
Organizations developing technology related to Impact Assessment.
Develops an AI governance platform that helps organizations operationalize responsible AI by providing tools for risk and compliance assessment, including fairness, performance, and security analysis of machine learning models.
Provides an AI Observability platform that enables monitoring, explaining, and analyzing machine learning models in production. Its tools for explainability and bias detection are core to assessing the real-world impact of AI systems.
Offers a platform for AI performance monitoring, providing tools for detecting data drift, model bias, and explainability issues. This allows for continuous impact assessment of AI systems after deployment.
A non-profit organization that develops best practices, frameworks, and documentation standards to advance responsible AI. They create resources and tools to help organizations understand and assess the impact of AI technologies.
An open-source AI platform that provides tools for building and deploying ML models. They promote responsible AI through features like Model Cards for documenting model performance, limitations, and ethical considerations, which are key to impact assessment.
Develops and open-sources toolkits for trustworthy AI, such as AI Fairness 360 for bias detection and mitigation, and AI Explainability 360. These tools provide the technical foundation for assessing the impact and fairness of AI models.
Creates and open-sources a suite of Responsible AI tools. The What-If Tool allows for probing model behavior to understand fairness, and the Model Card Toolkit helps document a model's performance and limitations to assess its potential impact.
A university research institute that studies the social implications of artificial intelligence. They are a leading voice in developing and advocating for frameworks for Algorithmic Impact Assessments (AIAs) to be used by government and industry.