Kathmandu: Leveraging modern technology has been essential for game-changers so that they can seek solutions to various social problems. Artificial intelligence (AI) is undoubtedly at the front to benefit the social innovators. But breaking barriers is equally important for their capacity to deploy AI for social benefits. It is what a recent landscape report- 'AI for Impact: The Role of Artificial Intelligence in Social Innovation' underlined. Despite having huge potential of AI in social innovation, the data bias and privacy are pressing concerns that determine its success as per the report released jointly by World Economic Forum and Schwab Foundation for Social Entrepreneurship in collaboration with EY and Microsoft. The report prepared with massive dataset of 300 social innovators from over 50 countries of six regions and 90 initiatives surrounding AI ecosystem and social innovation stated that 25 percent of social innovators are using AI to enhance access to health, while with 20 percent of social in novators apply AI to cope with climate solutions. It has pointed out inadequate assistance for social innovation and local initiatives for building and applying AI for impactful solutions in the low income countries. The report has made aware the areas to which the social innovators could pay heed to ensure ethical use of AI that deters exclusion and inequalities. "The ethical use of AI, data governance and the development of inclusive technologies are critical considerations to ensure that the benefits of AI are realized without exacerbating existing inequalities or creating new forms of exclusion," it stated. The data sets have showed that Asia is second in social innovators (20%) while the North America the first (29%). Asia is trailed by Africa (18%) which is followed by Europe (16%). After Europe, it is Latin America (11%) and finally Oceania (6%). Moreover, the most applied AI capability by the social innovators is machine learning (53.3%). Machine learning is trailed by predictive learning (8.3%) i n a huge margin. Chatbot accounts 3.3%. Some of the barriers for adopting AI for social innovation as explained the paper are- trust gap and systemic bias, technical complexity and skills gap, resource intensity, data quality, in/access to AI technology and insufficient collaboration at multiple levels. Source: National News Agency Nepal