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In this episode of Pharma Talks, Natalyia Andreychuk and Anna Shavurska explore trust in AI, especially agentic AI in pharma, the importance of women in tech, and how AI can be developed responsibly with a focus on safety, trust, and diversity.
Takeaways:
Trust in agentic AI and safety measures in pharma
The importance of women in AI development and diversity
Technical approaches to secure and reliable AI, including knowledge bases and retrieval-augmented generation
Chapters
00:00 Introduction to AI Trust and Women in Tech
02:00 Understanding Agentic AI and Knowledge Base Security
03:45 Ensuring Data Privacy and Trust in Pharma AI
05:39 Technical Challenges in Visual and Text Generation
07:35 Prompt Engineering and AI Output Precision
09:50 The Importance of Women in AI Development
11:38 Historical Bias and the Need for Diversity in AI
12:39 Inspiration and Career Path in AI
13:30 Closing Remarks and Future of Women in AI
By Nataliya AndreychukIn this episode of Pharma Talks, Natalyia Andreychuk and Anna Shavurska explore trust in AI, especially agentic AI in pharma, the importance of women in tech, and how AI can be developed responsibly with a focus on safety, trust, and diversity.
Takeaways:
Trust in agentic AI and safety measures in pharma
The importance of women in AI development and diversity
Technical approaches to secure and reliable AI, including knowledge bases and retrieval-augmented generation
Chapters
00:00 Introduction to AI Trust and Women in Tech
02:00 Understanding Agentic AI and Knowledge Base Security
03:45 Ensuring Data Privacy and Trust in Pharma AI
05:39 Technical Challenges in Visual and Text Generation
07:35 Prompt Engineering and AI Output Precision
09:50 The Importance of Women in AI Development
11:38 Historical Bias and the Need for Diversity in AI
12:39 Inspiration and Career Path in AI
13:30 Closing Remarks and Future of Women in AI