Navigating the Challenges of Responsible AI in Pharmaceutical Industries

Thursday, 19 September 2024, 19:06

Responsible AI is crucial for success as Indian industries face the challenge of AI governance and ethical AI adoption. With immense potential in pharma, companies like Sun Pharma emphasize the need for accountability and transparency in AI systems. This article explores how effective AI systems can align with societal values while overcoming industry hurdles.
Indiatimes
Navigating the Challenges of Responsible AI in Pharmaceutical Industries

Understanding Responsible AI in Pharma

Responsible AI is essential for success in today's tech-driven landscape. AI systems must be developed ethically while respecting privacy and minimizing bias. In the pharmaceutical sector, Sun Pharma is leading this effort, showcasing how AI governance can transform the industry.

AI Governance and Adoption Challenges

Even with the advantages AI brings, the journey towards responsible AI is fraught with obstacles. Dheeraj Sinha from Sun Pharma highlights the fragmented nature of solutions and complex regulations as key barriers.

  • AI Governance: Establishing a council with compliance and legal experts.
  • Data Mesh Architecture: Ensuring data lineage and governance for robust AI systems.

Strategizing for Responsible AI Implementation

To implement responsible AI, organizations must focus on both cultural change and structured governance. Rishi Aurora from IBM recommends combining automated tools and ethics boards for a comprehensive approach.

  1. Establish clear metrics for measuring AI success.
  2. Foster a culture of digital transformation within the company.

This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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