{"id":255137,"date":"2023-10-31T18:57:27","date_gmt":"2023-10-31T17:57:27","guid":{"rendered":"https:\/\/unric.org\/en\/?p=255137"},"modified":"2023-11-01T07:29:59","modified_gmt":"2023-11-01T06:29:59","slug":"ai-transformative-power-and-governance-challenges","status":"publish","type":"post","link":"https:\/\/unric.org\/en\/ai-transformative-power-and-governance-challenges\/","title":{"rendered":"AI: Transformative power and governance challenges"},"content":{"rendered":"
Can we ensure the inclusivity of artificial intelligence (AI)? What will AI mean for our economies or job markets? How can we make sure that AI doesn’t worsen current inequalities or introduce new ones? These questions call for a clearer understanding of AI and how it might affect our society.<\/strong><\/p>\n \u201cAI must benefit everyone, including the one-third of humanity who are still offline,\u201d said UN Secretary-General<\/a> Ant\u00f3nio Guterres during \u201cAI for Good\u201d Global Summit in July 2023, which explored how AI can be used to achieve the Sustainable Development Goals (SDGs).<\/p>\n AI is present in everyday life, from booking flights and applying for loans to predicting pandemics or helping create inclusive environments for persons with disabilities. AI has the power to transform humanity if harnessed responsibly and made accessible to all.<\/p>\n Last week, during his lecture at the Royal Library of Belgium, UN Under-Secretary-General and United Nations University Rector, Professor Tshilidzi Marwala<\/a>, spoke about the governance challenges of AI<\/a>. As AI systems become more capable and autonomous, we must consider how to regulate their design, training, and use to align with human values and prevent unintended harm.<\/p>\n According to the World Intellectual Property Organization (WIPO)<\/a>, AI is generally considered to be a field within computer science aimed at developing machines and systems capable of performing tasks that typically require human intelligence, such as perception, language interaction or problem-solving. AI is founded on algorithms<\/a>, which are translated into computer code containing instructions for the rapid analysis and transformation of data into conclusions, information, or other outputs.<\/p>\n One of the AI examples of a natural language processing tool is Chat GPT. <\/strong>It allows users to interact with the GPT-3 (Generative Pre-trained Transformer 3) model using natural language. The model is trained on a large amount of data, allowing it to generate human-like responses to various inputs. However, these technologies still have limitations<\/a>, such as incorrect responses, high carbon footprint, lack of updated information and requiring access to the internet. Notwithstanding, they are gaining in popularity – launched in November 2022, Open AI\u2019s ChatGPT-3 platform reached 100 million users by January 2023, making it the fastest-growing consumer app in history<\/a>.<\/p>\n AI holds the potential to drive progress across all 17 SDGs, offering solutions to pressing global challenges. Its applications enable innovation, improve risk assessment and planning and allow faster knowledge sharing. On 26 October 2023, the UN Secretary-General launched the new UN Advisory Body<\/a>, consisting of 39 experts from across the world, who will aim to harness AI for the common good. They will make recommendations by the end of the year on the areas of international governance of AI; shared understanding of risks and challenges; and key opportunities to leverage AI to accelerate the SDGs.<\/p>\n AI is already offering incredible possibilities. Below, we have included some of the key areas where AI has demonstrated significant progress and the capacity to bring about transformative change.<\/a><\/p>\n AI has the potential<\/a> to strengthen health service delivery to underserved populations; enhance public health surveillance; advance health research and the development of medicines; support health systems management and enable clinical professionals to improve patient care; and perform complex medical diagnoses. For example, AI is more accurate when it comes to designing personalised treatments or predicting heart attacks<\/a>. When AI is combined with human diagnosis, the error rate is only 0.5 percent — compared to 3.5 percent for human doctors. According to the World Health Organization, non-communicable diseases cause approximately 89 percent of premature deaths in the European region, thus better diagnostics could help save millions of lives.<\/p>\nWhat do we have in mind when we talk about AI?<\/strong><\/h2>\n
Positive impact of AI: SDGs accelerator<\/strong><\/h2>\n
Healthcare:<\/strong><\/h3>\n