Caroline Chibelushi

Caroline Chibelushi | Knowledge Transfer Network

Caroline Chibelushi

Dr. Caroline Chibelushi takes a vision and makes it reality through sound strategy development.

She intuitively sees the threads of opportunity that wind through an organization, brings them together into a coherent whole, helps others extend their thinking, and drives innovation into business for competitive advantage. Her contribution in AI includes leading an initiative to increase the number of women in AI. She is a founder and executive chair for UK Association for AI which promotes responsible, ethical and sustainable AI.

She is an inspirational leader who tells stories that inspire action while at the same time is grounded in AI and innovation that levers the business. Respected as a credible voice in the implementation of AI for business advantage and innovation, finding strategic investors and partners, supporting cross-sector business opportunities and establishing governance boundaries, Caroline earns a seat at the table wherever she serves.

Caroline is currently a Lead Artificial Intelligence at Knowledge Transfer Network (KTN) which works in partnership with a government agency called Innovate UK. Her leadership in AI is helping businesses to get the best out of creativity, ideas and the latest discoveries, to strengthen the UK economy and improve people’s lives. She links new ideas and opportunities with expertise, markets and finance through the network of businesses, universities, funders and investors. From healthcare and agri-food to autonomous systems and from energy to design, She combines in-depth knowledge in all sectors with the ability to cross boundaries.

Caroline pursued Electronics and Communication Engineering in her first degree which provided her with an opportunity to work in oil exploration industry as an Electronic Engineer. She went on to complete an MSc (Communication Systems), PhD (Computer Science – AI) and other postgraduate courses. She designed and developed a system that contained the anomalies and evolution of the manufactured products for one of the three global players in energy transmission and distribution. In order to marry her interest in research and enterprise Caroline took responsibilities in three different higher institutions while at the same time supporting research in Africa, Asia and Europe. She managed various projects in security and policing, health and medicine and finance sectors. She is also a qualified teacher for higher education. She contributed by attracting large amount of external funding to the universities, supported the commercialisation of innovative ideas and developed universities’ business and enterprise networks. She published papers, developed reports and supervised PhD students nationally and internationally. This experience helped her to take on the even bigger responsibility of managing a research- oriented SME involving artificial intelligence, big data analytics, systems and device development. The foci of this company’s activities are in four major sectors: health and social care, medicine, finance and security.

Through this employment, she delivered a number of projects in Tanzania including analysing data from Tanzania Stock Market and Tanzania Revenue Authority (TRA). At TRA she developed an AI tool to identify tax fraud, resulting in the recovery of £34 Million pounds. She also delivered work-based intensive training to TRA employees on how to identify tax fraud using AI techniques. This work was recognised by the UK IET (Institution of Engineering and Technology) which invited Caroline to deliver 3 lectures on this subject in 3 UK regions.

she initiated, designed and developed AI products to reduce challenges in mental health, obesity, and caesarean birth.
After listening to the continuous national news in relation to the social care challenges in the UK, Caroline was eager to develop tools that could reduce the challenges. She could not get any nursing entity which was ready to share their data or even discuss about the care processes. She decided to apply for a job as a social carer at a nursing home for a year. That provided her with real-time information and enough observational data to be able to design a tool for care homes she developed a predictive model for an African stock market, and a system to identify tax fraud. She also initiated, designed and developed algorithms to predict and deter organised crime (ASKARI: A crime text mining approach and Duo mining with multi-agents: the next wave to control organised crime). As she pursues her career to work for KTN, she published two articles which aim to support AI suppliers and consumers to realize future AI opportunities through publishing articles which are based on detailed research. For example: AI vs Covid-19, ROI for AI, AI for Cut-flowers, RAI in Circular Economy, RAI in Construction Industry, and AI for HR management. She also represent Ktn in meetings, workshops, conferences, and media

She initiated and developed the KTN AI Toolkit (KAIT) which aims to reduce Ktn’s costs as well as helping public sector organisations to safely and securely adopt AI.

Caroline manages and organise events and other AI and business-related activities at KTN. This includes Robotics and AI thought leadership programmes and advisory boards, and AI standardisation and regulation development activities.


• Certificate of appreciation and commendation for my contribution in World Bank African Centres of
Excellence (ACE) Project II – 2016.
• Acknowledged by the partner and recognised by the funders (the World Bank, DANIDA and DFID) for delivering a project in Tanzania which made an impact on the Tanzanian economy
• Certificate of Merit for the 2009 IAENG International Conference (Hong Kong) on Data Mining and
• Best employee of the year (Tanzania Petroleum Development Corporation)