The report titled Artificial Intelligence and Potential Impacts on Human Rights in India has been published by Aapti Institute. The report which has been commissioned by the United Nations Development Programme under the Business and Human Rights in Asia programme and the EU explores the impact of deploying AI across various businesses verticals in India on human rights. Considering human rights is important for a country like India where the marginalised and vulnerable constitute a sizeable population who often fail to redress in case of abuse by the technology. Hence it is critical for the protection of human rights, job creation and achieving the broader Sustainable Development Goals. The report is divided broadly divided into 2 sections: identification of human risks and the recommendations or strategies for mitigation of such risks. It highlights the fact that engaging with issues related to AI and human rights can prove beneficial to all stakeholders: the State can achieve its goal of social and economic inclusivity; citizens can be protected within legal frameworks and provides the environment for investments to achieve a steady economic growth.

In a joint research effort forged in 2017, the MIT-IBM Watson AI Lab has put significant resources into a new approach to AI that could provide CX and digital transformation specialists with more accurate intent recognition. Known as "neuro-symbolic artificial intelligence," this approach could allow companies to do more with less data and provide for greater transparency and privacy. Employing the approach to Conversational AI could give brands the ability to "add common sense" to their chatbots, intelligent virtual agents and to the prompts provided to live agents. The science combines the probabilistic pattern recognition capabilities of today's Deep Neural Networks (DNNs) and "deep understanding" with an approach to AI that is based on representations of problems, logic and search that are considered more "human-readable." In a new report, Dan Miller, lead analyst and founder with Opus Research, presents the possibility for enterprises to improve automated conversational systems with significant implications for customer care, digital commerce and employee productivity.