Last month, our CMO and PM Anna Valli was invited to participate in the VI International Conference on Activity and Behaviour Computing (ABC24) chaired by Professor Sozo Inoue from Kyutech (Kyushu Institute of Technology, Japan) and sponsored by IEEE (Institute of Electrical and Electronics Engineers).
Our team visited Kyutech in Japan to collaborate in the creation of AI-enhanced healthcare products
During the conference, we were able to connect with top HealthTech researchers, developers, and institutions. Following the conference, our team met with Professor Sozo Inoue, Director of “Care XDX Center Kyutech”, Kyushu Institute of Technology, focused on the application of ML and IoT on activity recognition aimed at Healthcare & Nursing Tech. These technologies can significantly improve patient care and monitoring.
It was also relevant the discussion with Doctor Colley from Hokkaido University (Noriyo Colley, Ed.D., MNS, BE, BN, RN in Japan and Australia) whose team developed an interactive simulator to train nurses and improve nursing care quality. Training nurses effectively is essential for maintaining high-quality healthcare services.
Innovation in Big Data and AI
These meetings will facilitate the collaboration between the institutions both in the field of innovation in big data and AI projects, and in the promotion of new data-based products in the international market to improve health care systems (HealthTech).
Clearly, collaborations like these foster innovation: integrating big data and AI can lead to breakthroughs in healthcare, from predictive analytics to personalised treatments.
It’s exciting to see how these partnerships will promote new data-based products globally, enhancing health systems.
Seminar on Trustworthy AI
During her visit, our CMO, as per her role as Associate Professor at UAB as well as her professional career as digital business and strategy expert, held the seminar entitled “Trustworthy AI: Solving problems with data while making a positive impact in society” at the Kyushu Institute of Technology.
The talk was about the importance of working not only on the use of data to solve real problems of companies and society but also the relevance of thinking and establishing how to work with data at a strategic level: paying attention both to market aspects and to what is referred as Trustworthy AI. This includes elements such as accessibility, security, equity, accountability, transparency, fairness, reliability, and robustness of the artificial intelligence algorithms that are integrated as well as the ability to explain how they reach to their conclusions.
Ensuring ethical and transparent AI development is crucial. The above factors are essential for building AI systems that benefit society. This means working with AI algorithms with a white-box perspective, including explainable-by-design and fairness-by-design approaches; so, making AI trustworthy by also having the capacity to explain the reasoning behind the algorithm and making this explanation accessible to different stakeholders so that they can take strategic and business decisions based on this information instead of working with black-box AI tools.
Finally, the talk included different use cases that we are working at Mosaic Factor on the application of AI algorithms in different sectors, including Trustworthy AI and explainability of AI algorithms.
→ Check our Trustworthy AI solution
