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.
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
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.