India to Launch Four Responsible AI Solutions on AIKosh Platform

3 Sources

India's government is set to launch four responsible AI solutions on its AIKosh platform between September and December, focusing on machine learning, bias mitigation, risk evaluation, and fairness assessment.

India's Ambitious AI Initiative

The Indian government is set to make a significant stride in the realm of ethical artificial intelligence with the launch of four responsible AI (RAI) solutions between September and December 2023. These solutions, part of the IndiaAI Mission's 'Safe and Trusted AI' pillar, will be made available on the government's dedicated AI platform, AIKosh 1.

Source: Analytics India Magazine

Source: Analytics India Magazine

Key Features of the AI Solutions

The four RAI solutions focus on critical aspects of AI development:

  1. Machine learning
  2. Bias mitigation
  3. Risk evaluation
  4. Fairness assessment

Kavita Bhatia, Chief Operating Officer of the IndiaAI Mission, revealed that these tools are intended to be released as open-source resources once fully developed 2.

Ongoing Developments and Evaluations

The government is currently evaluating over 400 applications for AI tools, including those for:

  • Deepfake detection
  • Watermarking AI-generated content
Source: Economic Times

Source: Economic Times

These evaluations underscore India's commitment to addressing emerging challenges in the AI landscape 3.

Broader AI Application Development Initiative

As part of a larger initiative to promote real-world use cases, the government plans to select 30 AI application development projects within the next month. These applications will span critical sectors such as:

  • Healthcare
  • Agriculture
  • Climate change management
  • Governance
  • Support for learning disabilities

The IndiaAI Mission Framework

The Safe and Trusted AI initiative is one of seven key pillars of the ₹10,000 crore IndiaAI Mission. Other components include:

  1. IndiaAI Innovative Centre
  2. Datasets Platform
  3. Futureskills Programme
  4. Startup Financing
  5. Compute Infrastructure

These pillars collectively aim to build a robust national AI ecosystem 1.

India's Leadership in Responsible AI

AI experts have praised India's leadership in responsible AI development. Alpan Raval, Chief AI/ML Scientist at Wadhwani AI, highlighted the practical implementation of AI for social good, citing an oral reading fluency assessment tool deployed in Gujarat's public schools 1.

Collaborative Efforts and Global Recognition

To support this vision, Infosys and the Linux Foundation have partnered to promote India's homegrown Responsible AI solutions on the global stage. The government is also collaborating with UNESCO and Ikigai Law to produce a report on an AI readiness methodology for India 2.

Source: Inc42 Media

Source: Inc42 Media

Future Prospects and Challenges

As India positions itself as a frontrunner in ethical, inclusive, and secure AI, it faces the challenge of ensuring that AI systems are designed with a diverse spectrum of users in mind, including marginalized communities. Tim Curtis, Director of the UNESCO regional office in Delhi, emphasized the importance of proactive measures for responsible development and usage to prevent potential risks from undermining AI's immense benefits 2.

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