With tech in place, corporates can monitor the reports submitted by the NGOs more accurately to check the impact on ground. This will lead to the right allocation of funds and support areas, while building a trust bond between the donor and receiver organizations.
Nikunj Sharma, Delhi
Corporate Social Responsibility (CSR) is a data based segment to drive social change. However, most CSR professionals witness the challenge of handling excessive data to make a visible social impact. Artificial intelligence (AI), which can monitor data for quality, and transform this vital information into sustainable CSR delivery may be the answer to this problem, after finance and marketing solutions, many companies are also using AI in an integrated and strategic manner to enhance CSR efficiency.
Harlina Sodhi
In a CSR project, AI can be effectively used to eliminate human bias, detect incentive misalignment, identify the integration points of CSR initiatives and understand business value coordinates of a company.Technology is all about skilling, updating, educating and re-skilling ourselves for future challenges. At a recent CSR Leadership Conference, during a session on future skills, Harlina Sodhi – Co-founder, BelieveInYourself – mentioned, “While technology is all pervasive be it AI, ML, Blockchain and Cloud Computing as well as transactional in nature, human skills are also equally important. According to a study by World Economic Forum the top future skills for work place and workforce are creativity, empathy, ability to coach, form and forge powerful relationships, critical conversations, innovation and artistic attributes.” AI can help in harnessing human skills like empathy, creativity and emotional intelligence, which can further lead to improved decision-making on data-backed evidence by minimizing uncertainty.
The new age CSR is evolving from a fact-based process to a hybrid and sequential approach incorporated with data science and IT-based big data solutions. The advanced tech tools help in optimization and development of enterprise AI-driven CSR. With tech in place, corporates can monitor the reports submitted by the NGOs more accurately to check the impact on ground. This will lead to the right allocation of funds and support areas, while building a trust bond between the donor and receiver organizations. The increased transparency and accountability are driving the much needed change across CSR demography and domains.
