The development of chatbots requires collecting a large number of human-chatbot dialogues to reflect the breadth of users' sociodemographic backgrounds and conversational goals. However, the resource requirements to conduct the respective user studies can be prohibitively high and often only allow for a narrow analysis of specific dialogue goals and participant demographics. In this paper, we propose LLM-Roleplay: a goal-oriented, persona-based method to automatically generate diverse multi-turn dialogues simulating human-chatbot interaction. LLM-Roleplay can be applied to generate dialogues with any type of chatbot and uses large language models (LLMs) to play the role of textually described personas. To validate our method we collect natural human-chatbot dialogues from different sociodemographic groups and conduct a human evaluation to compare real human-chatbot dialogues with our generated dialogues. We compare the abilities of state-of-the-art LLMs in embodying personas and holding a conversation and find that our method can simulate human-chatbot dialogues with a high indistinguishability rate.

When 62-year-old computer scientist P Anandan started last September as CEO at the Wadhwani Institute of Artificial Intelligence (WIAI), he might have been apprehensive. He was signing up to work on AI in India after three decades at major global corporations and academia in the US and at home, including top teaching and research roles at Yale University, Adobe and Microsoft. Misconceptions abound about big data, machine learning, automation and other AI-related technologies in the context of job losses for humans. And unlike other major economies, India hadn't yet spelled out its vision for a future with AI. But when Anandan set out to work, he found support all around. In February, the Prime Minister inaugurated the institute.

Boon of technology has changed the human civilization for good, as constant evolution in technology being intensively tracked and leveraged by new-age entrepreneurs, it only becomes imminent that aspects such as the Internet-of-Things (IoT), artificial Intelligence (AI), Machine Learning (ML), Deep Learning and more; are utilised by entrepreneurs to develop technology-driven models to actually solve societal problems. In this regard, with futuristic technology penetration being the focal point; Entrepreneur India lists the relevance of a domain called Machine Learning for entrepreneurs in 2018 to harness and develop solutions such that societal problems are mitigated whilst driving recognition for developing unconventional solutions. "Machine Learning has the potential to help create a utopian world without any disease, crime, and poverty," states Yogesh Bhatt who is Vice President at Bengaluru-based Manipal Prolearn; a unit of Manipal Global Education Services. This is substantiated when we consider the fact that data scientists today have been working at the heart of societal issues in domains healthcare and medicine; which are undoubtedly in a definite need for disruption. Specifically, Machine Learning is now driving doctors through predictive analytics; towards aspects such as enhancing the success rates when it comes to diagnosing and treating life threatening ailments such as clinical depression and cancer. These aspects potentially provide exciting prospects for entrepreneurs, to come up with models driven by ML, as there practically (not theoretically) exists opportunity for impact to introduce positive changes in the lives of people.