INSIGHTS

All insights

Ethical AI in Professional Practice

Move from broad principles to practical governance throughout the AI lifecycle.

Ethical AI in Professional Practice

Responsible AI requires decisions about data, design, deployment, oversight and accountability.

Identify who could be affected

Map benefits and harms across customers, staff and communities, including people who may be underrepresented in the data.

Keep meaningful oversight

Define where human judgement is required and make it possible to question, correct or appeal automated outcomes.