Incorporates the experiences of organizations that have adopted AI, and feedback from our participation in leading international platforms, such as the European Commission’s High-Level Expert Group and the OECD Expert Group on AI. Produced mainly for Manager.

Demonstrates a commitment to ensuring New Zealanders to have confidence in how government agencies use algorithms. The charter is one of many ways that the government demonstrates transparency and accountability in the use of data. Produced mainly for Government agencies.

Aims to help developers and product managers design and implement algorithmic systems in publicly accountable ways. Accountability in this context includes an obligation to report, explain, or justify algorithmic decision-making as well as mitigate any negative social impacts or potential harms. Produced mainly for Managers & Tech teams.

The risk chain model (RCModel) supports AI service providers in proper risk assessment and control, and offers rpolicy recommendations

The toolkit presents key risks associated to AI, including those related to bias & fairness. It offers a free responsible AI Diagnostic tool and a PDF version of pwc's Practical Guide to Responsible AI.

The work is intended to address practical considerations across the data lifecycle, including routine data collection and one-off data collections. It provides guidance, principles and practical case studies.

Short documents accompanying trained machine learning models that provide benchmarked evaluation in a variety of conditions, such as across different cultural, demographic, or phenotypic groups and intersectional groups that are relevant to the intended application domains. Produced mainly for: C levels & Managers.

Is a purpose driven, inclusive, membership funded organization, whose members have a shared passion for the opportunities that digital identity can offer. Digital Identity NZ supports a sustainable, inclusive and trustworthy digital future for all New Zealanders. It is part of the NZ Tech Alliance. Produced mainly for: C Level & Non Tech Team.

To offer journalists and communicators basic notions about privacy and protection of personal data, the political and economic implications for democracy and the importance of preserving individuals' rights when reporting events of public interest. Produced mainly for Non - tech teams.

This practical guide to deploying AI lays out a human-first, responsible approach that has seen more than three times the success rate when compared to the industry average. Produced mainly for C Level, Manager, Tech Team & Non - Tech Team.

A biased model that works for some users, and not others, is a failed model. Or a model that wasn’t sourced responsibly can be a poor reflection of company values and a nightmare with the media. It’s helpful to remember that AI reflects the people and the company that build it: when something goes wrong, it shows something may also be wrong internally. Produced mainly for C Level, Manager, Tech Team & Non - Tech Team.

Responsible Innovation is a toolkit for developers that provides a set of practices in development, for anticipating and addressing the potential negative impacts of technology on people. It covers applying Microsoft's AI principles of fairness, and approaches for harms modeling and community jury-style reviews.