Responsible Business Intelligence (RBI) stems from the three concepts of:
The responsible use of Business Intelligence (BI)
The responsible use of Artificial Intelligence (AI)
The application of BI and AI by Responsible Businesses
The AI for Good Global Summit ran last week, in Geneva, with an additional day at the start wholly focused on AI Governance: Responsible Businesses and Organisations discussing the opportunities, challenges, stakeholders, industry standards and regulatory imperatives required to ensure the responsible application of AI for the benefit of society.
AI for Good is a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals (SDGs).
The 2030 Agenda for Sustainable Development, adopted by all United Nations Member States in 2015, provides a shared blueprint for peace and prosperity for people and the planet, now and into the future. At its heart are the 17 Sustainable Development Goals, which are an urgent call for action by all countries - developed and developing - in a global partnership. They recognise that ending poverty and other deprivations must go hand-in-hand with strategies that improve health and education, reduce inequality, and spur economic growth – all while tackling climate change and working to preserve our oceans and forests.
The availability of Responsible Business Intelligence to inform the SDGs - for citizens, innovators, problem owners, stakeholders, regulators, businesses and organisations alike - is critical. Take the example of SDG 3 (Good Health and Well Being):
AI has the potential to have a transformative impact on society where healthcare is accessible and personalised for all. The development of the COVID-19 mRNA vaccines using AI, in a matter of months rather than years, stands as an obvious example of this. BBC News also reported last week that thousands of NHS cancer patients will get access to trials of a personalised cancer vaccine - where an mRNA vaccine is developed for each patient based on the mutations unique to their specific cancer. None of this achievable without AI.
Equipped with an understanding of what's at stake if we don't use AI to transform healthcare, it is also critical that we engage on the discussions about the ethical implications of AI in healthcare such as data privacy, algorithmic bias and equitable access. We need to engage with and understand AI to regulate it.
The good news is, AI is no longer just the domain of the software developer, as well articulated by Bronwyn Kunhardt in her article AI: "Language is the New Operating System". In principle, AI is accessible to everyone, as demonstrated by Moderna's AI Academy - launched in late 2021 to build AI capabilities and skills across the entire organisation, regardless of level. AI Academy learning tracks range from a quick introduction to ChatGPT technologies to a masterclass on developing complex AI use cases.
The SDGs articulate how we as citizens wish to develop a sustainable society in our lifetimes and for future society. Responsible Business Intelligence is an important tool used to support this process, analysing massive quantities of trusted data using responsible AI to empower responsible businesses and organisations today and in the future.
Comentarios