Browsing by Author "Kumari, Neeraj"

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    AI & ethics: charting a responsible future
    (NATL INST SCIENCE COMMUNICATION-NISCAIR, 2024) Yadav, Gitanjali; Munshi, Angad; Kumari, Renu; Singh, Dhananjay; Kumari, Neeraj; Munshi, Usha Mujoo
    Artificial intelligence (AI) is rapidly transforming the world, but its development and deployment raise critical ethical questions. This paper explores the key themes that emerged from a national conclave on AI and Ethics in India, bringing together industry and academic leaders. We examine the potential of AI for various sectors, with a thematic case study for the Genome Biology sector, alongside concerns about bias, privacy, and accountability. AI development and use, while underscoring the need for an ethical framework to guide its evolution, emphasizes the need for collaboration between academia and industry to develop ethical frameworks and translate principles into practical applications. In summary, ethical AI may serve as a moral framework of AI technologies to ensure that our technological capability aligns with fundamental societal values and human dignity on the road to progress. This framework by definition would not be a static set of commandments but a dynamic constantly evolving idea about the use of technologies like AI.
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    The #semantic climate community: making open-source software for knowledge liberation
    (NATL INST SCIENCE COMMUNICATION-NISCAIR, 2024) Yadav, Gitanjali; Hegde, Shweata; Kumari, Renu; Kumari, Neeraj; Murray-Rust, Peter; Worthington, Simon
    #semantic Climate is an international open research community led by young Indian scientists who use Open Notebook Science to transform information into structured filtered and actionable knowledge. The key project mission is to liberate scientific climate data, making it equitable and freely accessible to everyone. The #semantic Climate community achieves this through two central activities, namely collaborative open notebook science, and citizen engagement. The first activity is research oriented and involves creation of a proof-of-concept software toolkit that uses AI over NLP to transform locked literature (such as PDF documents) into semantic, hypermedia form. This is a non-trivial task, that has haunted developers for over three decades, and the #semantic Toolkit makes complex climate reports not just easily accessible, but also processable by machines, embedded in the Global Knowledge Graph and thereby connected to multilingual resources. The second activity is where the #semantic Climate community engages citizens in climate action and awareness through interactive hackathons, open and transparent working practices, and using Git versioning. From a citizen science perspective, this includes designing community outreach activities (games), giving attribution to all participants, and engaging the wider public in the culture and practices of science (verifiable knowledge, review, data science, modern infrastructure use, etc). This article is an overview of the #semantic Climate community building efforts, and how the project employs strategies, techniques, and ideas from the fields of Open Notebook Science. The open-source software culture and projects follow UNESCO Open Science values, and knowledge justice for the Global South, towards addressing knowledge neo-colonisation.