For visualizing and anticipating future risk of technology products, acknowledging that once technology is released and reaches scale it may be used for purposes beyond the original intention.

To approach the phenomenon of bias generated through neural networks, either in their training or in the design of their objective function, and to analyze some of its possible legal implications.

The purpose of this manual is to provide technical recommendations and technical best practices in order to avoid contrary results (often unexpected) to the decision-makers' expectations. Produced mainly for Tech teams.

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.

Participants will learn some of the fundamentals of AI ethics and then immediately get to practice applying ethical considerations related to the principle of Fairness in the context of several humanitarian and international development use cases. Produced mainly for C Level, Manager, Tech Team, Non Tech Team.

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.

Philosophical insights aimed at clarifying the nature of artificial intelligence, its relationship with human intelligence, as well as the various types of developments that have taken place in this field and the questions and challenges they raise.

This manual is part of a series of documents and tolos developed by the fAIr LAC initiative to guide policy makers and their technical teams in mitigating the challenges inherent in AI-based decision support systems and promoting their responsible use.

The pou define why we exist, who we serve, what our goals are and how we make good decisions as kaitiaki for whānau. Produced mainly for Non - Tech teams.

AI is the study and research of providing software and hardware that attempts to emulate a human being. Cognitive computing is computing focused on reasoning and understanding that is inspired by human cognition. It is a subset of AI. Produced mainly for: C levels & Managers.

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.

Summarices the main themes in the submissions we received and, where appropriate, provide our responses. Provides further clarification on how we will apply our Framework in practice.