AI GovBox

Think within and outside the box

AI Governance Box is our comprehensive framework to address current and future challenges of AI development and deployment. The Box provides strategy, tools and practical guidance including those needed for working out ethical principles and policies that additionally require efforts outside the box. 

Ethical principles and policies need to be defined based on organizational values and ethical risk scenarios identified with case-by-case basis.

Ethical Principles and Policies

AI models need to be continually aligned with the purpose clearly identified before deployment. 

Fit for Purpose

Data has to be not only of high quality but also privacy preserving.

Data Quality and Privacy

AI models should avoid biased unfair treatment.

Fairness

AI models and its decision-making process should be transparent and interpretable to the public and explainable to auditors.

Transparency and Explainability

Algorithmic decision-making needs to be decipherable and overseen by humans.

Continuous Human Oversight

AI model safety and robustness are of utmost importance for all algorithms both physical and non-physical.

Safety and Robustness

Developers and project managers have to be responsible for both ‘what’ (responsibility) and ‘why’ (accountability) of the AI model.

Responsibility & Accountability
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From What to How

Operationalization of AI Governance frameworks and implementation of living policies and practice in a day-to-day workload is very complex and complicated task for each and every organization. However there is always a way and we are here to help you find the best route.