Ensure accountability and transparency in AI system outputs
Deploy the technology. Provide users with understandable explanations of how AI is being used and its limitations to ensure transparency in AI system outputs.
User Empowerment and Transparency
Ensure transparency in AI system outputs and decisions, providing users with understandable explanations of how AI is being used and its limitations. Offer users control over their data and the ability to opt-out or customize their AI experience to respect individual preferences and values.
Datasheets for Datasets
Microsoft https://www.microsoft.com/en-us/research/uploads/prod/2019/01/1803.09010.pd - A “how to create a datasheet” as a companion to your data set. The questions at the end of this paper provide an excellent template to start from when designing your project’s datasheets
Model cards - Salesforce https://blog.salesforceairesearch.com/model-cards-for-ai-model-transparency/ Model cards standardise documentation procedures to communicate the performance characteristics of trained machine learning (ML) and artificial intelligence (AI) models. They are product sheet designed to provide critical information about how ML/AI models work, including inputs, outputs, the conditions under which models work best, and ethical considerations in their use.
Enter the Plain language awards NZ - https://www.plainlanguageawards.org.nz/ - The Plain Language Awards are a public pat on the back for plain language champions, and help raise the bar for clear communication. Think about how to describe how your AI technology works in a way that New Zealanders will easily understand. This website has many good examples of clear and simple communication.
Ethical Review and Governance
Establish an internal ethics committee or external advisory board to oversee AI deployments. Conduct regular ethical reviews to assess the ongoing impact and adherence to ethical guidelines.
Singapore’s Model - AI Governance
Singapore’s Model AI Governance Framework - provides detailed and readily-implementable guidance to organisations to address key ethical and governance issues when deploying AI solutions.
ISAGO Implementation Self- Assessment Guide
A companion guide is the ISAGO Implementation and Self-Assessment Guide for Organisations. ISAGO aims to help organisations assess the alignment of their AI governance practices with the Model Framework. It also provides an extensive list of useful industry examples and practices to help organisations implement the Model Framework.
Connect with our experts to talk about how to establish and embed AI governance within your organisation.