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Critical challenges posed by AI, needs robust legal frameworks
Ashwini Vaishnaw, Union Minister of Electronics and Information Technology, Railways and Information & Broadcasting, while addressing questions on AI governance and development in Parliament, highlighted the critical challenges posed by the emerging AI landscape, social media accountability, and the need for robust legal frameworks. The Minister underlined the importance of balancing freedom of speech with the responsibility to combat fake news and ensure accurate narratives in the digital age.
Freedom vs Accountability: A call for consensus
“It is a major challenge that societies across the world are facing—the accountability of social media, particularly in the context of fake news and the creation of fake narratives,” Vaishnaw remarked. He emphasized that establishing societal and legal accountability requires a significant consensus. “These are the issues where freedom of speech comes on one hand and accountability and having a proper real news network getting created, on the other hand. These are things which need to be debated and if the house agrees and if there is a consensus in the entire society we can come up with the new law.” he added.
Privacy-centric indigenous AI Solutions
The Union Minister also addressed concerns about privacy and Artificial Intelligence (AI) governance, sharing details of proactive measures taken by the government to develop indigenous tools and technologies.
He said that under the AI Mission, one of the key pillars is Application Development, focusing on innovations that align with India’s unique requirements. “To address the emerging landscape of AI, we have initiated eight projects aimed at creating tools and technologies within the country” he added.
The details of the selected projects under “Safe & Trusted AI” Pillar are as under:
| S. No. | NAME OF THE THEME | SELECTED APPLICANT | TITLE OF THE PROJECT |
| 1 | Machine Unlearning | IIT Jodhpur | Machine Unlearning in Generative Foundation Models |
| 2 | Synthetic Data Generation | IIT Roorkee | Design and Development of Method for Generating Synthetic Data for Mitigating Bias in Datasets; and Framework for Mitigating Bias in Machine Learning Pipeline for Responsible AI |
| 3 | AI Bias Mitigation Strategy | National Institute of Technology Raipur | Development of Responsible Artificial Intelligence for Bias Mitigation in Health Care Systems |
| 4 | Explainable AI Framework | DIAT Pune and Mindgraph Technology Pvt. Ltd. | Enabling Explainable and Privacy Preserving AI for Security |
| 5 | Privacy Enhancing Strategy | IIT Delhi, IIIT Delhi, IIT Dharwad and
Telecommunication Engineering Center (TEC) |
Robust Privacy-Preserving Machine Learning Models |
| 6 | AI Governance Testing Framework | Amrita Vishwa Vidyapeetham
and Telecommunication Engineering Center (TEC) |
Track-LLM, Transparency, Risk Assessment, Context & Knowledge for Large Language Models |
| 7 | AI Ethical Certification Framework | IIIT Delhi and
Telecommunication Engineering Center (TEC) |
Tools for assessing fairness of AI model |
| 8 | AI Algorithm Auditing Tool | Civic Data Labs | ParakhAI – An open-source framework and toolkit for Participatory Algorithmic Auditing |
India: Global Leader in AI Governance and Policy
“Ethical issues in AI are a global concern, and India is committed to addressing these challenges through robust debate and responsible innovation. The tools developed under these projects will ensure that India stays at the forefront of ethical AI development,” Shri Vaishnaw explained.
The Minister also highlighted India’s global leadership in AI. “India is one of the leading countries in shaping global thought on AI governance. Last year, India became the chair of Global Partnership on AI (GPAI) and held the Summit this year, and India’s voice continues to hold significant weight in discussions with international bodies, including the OECD and United Nations,” he said.
BCS Bureau
