Lalitkumar Bhamare – AI for better AI: Authentic Intelligence for Better Approximated Intelligence

Let’s admit it, people! Whether we embrace AI or remain cautious, the global tech industry has reached a point where AI is unavoidable.

Speaker:

Amid the media coverage, enthusiasm, and excitement surrounding AI—particularly in the testing and QA industry—Lalit has chosen a path of skeptical curiosity. After all, good software testers are professional skeptics, aren’t they?

Through rigorous testing and experimentation with AI-based tools, Lalit has recognized their utility as assistants to testers. However, the inconsistency and unreliability of the results have been a significant concern. This has led him to explore ways to enhance AI’s reliability and examine how humans can interact with AI to train language models more effectively.

Lalit’s journey has led him to conclude that understanding Authentic Intelligence is crucial for developing superior Artificial Intelligence for human use.

This talk delves into the concept of Authentic Intelligence as illuminated by the Nyaya school of Indian philosophy. By drawing on Nyaya’s principles of knowledge acquisition, logical reasoning, and ethical discernment, Lalit explores how these timeless insights can profoundly enhance the quality, ethical framework, and societal impact of AI. The discussion will highlight the importance of integrating human values, ethical considerations, and cognitive empathy into AI systems to foster better decision-making, ethical reasoning, and empathetic interactions.

Furthermore, this knowledge will empower present-day software testers to remain relevant and impactful in the age of AI. By adopting Nyaya’s approach to rigorous analysis and validation, testers can enhance their critical thinking and ethical reasoning skills. This will enable them to better assess AI tools, ensure their reliability, and contribute to the development of AI systems that align with human values and societal needs. Ultimately, leveraging Authentic Intelligence will help software testers not only adapt to the evolving landscape but also play a crucial role in shaping a responsible and trustworthy AI-driven future.

Join Lalit in this intellectual voyage as he shares what he learned by staying skeptically curious about AI.