If you want to learn more about us, you’re in the right place. We encourage innovation and the development of trustworthy AI by offering the following services:


We recognise that legal, ethical and social challenges arise in every stage of innovation. Our training focuses on empowering parties involved in the design, development and use phases of an AI system, to recognise and learn how to better respond to these challenges as they arise.


From design to implementation, when we encounter challenges during the innovation process we can responde to these by relying on an overarching system of governance built around AI. This system encompasses understanding of legal, ethical and social foundations. Under the monitoring stage, we help organisations designing, developing or deploying AI to ensure the process is aligned with these foundations.


Organisations are encouraged to implement better practices through the development of internal policies which will influence their future decisions. At this stage, we help organisations to shape how their actions will align with the legal, ethical and social foundations of AI.

The “Ethical and Legal Requirements of AI in the APAC region” training session taught by the AI Asia Pacific Institute was well organized and interesting for expert.ai. As we built an AI platform based on an explainable ‘Natural Language Understanding’ engine, it was helpful to have an overview of the ethical and legal implications of the technology. 

Maurizio Mencarini

VP Global Strategic Partnership

Join us in opening the path to trustworthy AI.

To request an assessment OF YOUR ORGANISATION or DISCUSS collaboration opportunities, PLEASE CONTACT US​

A Path towards Trust

We believe that in the same way AI is powerfully driving the fourth industrial revolution, trust is the core foundation driving how organisations will differentiate themselves in the future.  

A recent study, the 2020 Edelman Trust Barometer Special Report: reveals that brand trust (53 percent) is the second most important purchasing factor for brands across most geographies, age groups, gender and income levels, trailing only price (64 percent).  Brand trust was found to be more imperative than all other factors, such as reputation or performance.

Independently on how regulatory developments unfold in the next few years, organisations that can place trust as their key priority will unleash new potential and differential. Due to the business risk attached to trust in AI, innovation needs to be on path with AI developments. 

These efforts towards trust must be collaborative. For this reason, our work approaches AI in a multidisciplinary way. We can create the future we want – if we all work together.