We work with you to develop internal AI policies, support on designing impact assessments, or build audit catalogues and frameworks.
Algorithm Impact Assessment
We work with you to develop and set up a continuous internal AI impact assessment.
We accompany and advice you and your company in the procurement of AI with the perspective of ethical alorithmic decision processes and help you to avoid unwanted effects on society already in advance through comprehensive edcucating and testing frameworks.
Benefits of an Algorithm Impact Assessment (AIS)
- Checks whether the algorithm is suitably transparent to end-users.
- Ensures that there is no evidence of internal bias or incompetence in its design.
- Examines if accountabilities are defined to avoid the occurrence of ‘responsibility gaps’.
- Makes sure that the training data used is suitably representative.
- Verifies the report on how the algorithm arrives at its conclusions and level of confidence.
Internal AI Guidelines
We work with you to develop internal AI guidelines and advise you in the development of an internal AI audit framework.
Our approach is centered around four established AI management principles: accountability, fairness, transparency, and responsibility. We help you to develop guidelines addressing topics like:
- AI governance
- Identifying and handling AI risks
- AI supervision and reporting
- Implementing an AI Culture of Integrity
Project steps
- Interviews with key stakeholders to assess the data being used
- Definition of desired values, aligned with overall company values
- Identification of gaps in the current setup and draft of a policy to address such
- Discussion and review of the draft incl. feedback on changes proposed by you