They include projects from universities, start-ups, research organizations and civil society.
If you asked most people if there is a need for an ethical framework for implementing AI, most people would agree. Yet what that looks like is harder to pin down.
The IndiaAI Mission, which aims to democratize the benefits of AI across all strata of Indian society, strengthen India’s global leadership in AI, foster technological autonomy and ensure ethical use and head of AI, turns to the country’s population for help in solving this problem. out, announcing on Thursday, the selection of eight projects aimed at improving the safe and reliable development of AI.
These AI projects encompass themes such as machine unlearning, synthetic data generation, AI bias mitigation, ethical AI frameworks, privacy-enhancing tools, explainable AI, testing AI governance and algorithm audit tools.
A multi-stakeholder committee was established to provide technical expertise for the evaluation of more than 2,000 proposals received from academic institutions, start-ups, research organizations and civil society.
These are the eight that were finally chosen:
- Machine Unlearning in Generative Baseline Models from Indian Institute of Technology Jodhpur
- Design and development of a synthetic data generation method to mitigate bias in datasets; and Framework for Mitigating Bias in the Machine Learning Pipeline for Responsible AI, from the Indian Institute of Technology, Roorkee
- Development of Responsible Artificial Intelligence for Bias Mitigation in Healthcare Systems at National Institute of Technology, Raipur
- Enabling Explainable and Privacy-Preserving AI for Security at Defense Institute of Advanced Technology, Pune, in partnership with Mindgraph Technology Pvt. Ltd.
- Robust and privacy-preserving machine learning models from Indraprastha Institute of Information Technology, Delhi, in partnership with Telecommunication Engineering Center
- Nishpaksh: AI model fairness assessment tools from Indraprastha Institute of Information Technology, Delhi, in partnership with Telecommunication Engineering Center
- ParakhAI – An open source framework and toolkit for participatory algorithmic auditing from Civic Data Labs
- Track-LLM, Transparency, Risk Assessment, Context and Insights for Amrita Vishwa Vidyapeetham’s Large Language Models in Partnership with Telecommunication Engineering Center
“As AI continues to permeate various sectors of society, India is committed to investing in agile mechanisms to develop indigenous governance tools, frameworks and guidelines based on Indian datasets and reflecting its unique challenges, opportunities and data sets,” the Home Office said. Electronics and Information Technology said in a statement.
This comes as countries around the world grapple with the rapid influx of AI technology and the ethical concerns that come with it.
Gavin Newsom, Governor of California recently vetoed a bill creating AI safeguards and regulations. The Safe and Secure Innovation for Cutting-edge Artificial Intelligence Models Act would have created regulations and safeguards around the use of AI, but the governor said the bill “establishes a regulatory framework which could give the public a false sense of security over control of this fast-moving technology. technology in motion.
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