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EuroSTAR Conference

Europe's Largest Quality Engineering Conference

Track Talk T14

Authentic Intelligence for Better Approximated Intelligence 

Lalitkumar Bhamare

14:45 - 15:30 CEST Thursday 5th June

Let’s face it—whether we embrace AI or approach it cautiously, the global tech industry has reached a point where AI is unavoidable.

Amid the media buzz and excitement surrounding AI, especially in the testing and QA industry, Lalit has taken a path of skeptical curiosity. As a professional skeptic, Lalit has rigorously tested AI-based tools and recognized their potential as assistants to testers. However, he has also identified significant concerns about their inconsistency and unreliability, driving him to explore ways to improve AI’s reliability and understand how humans can better interact with AI to train language models more effectively.

Lalit believes that understanding Authentic Intelligence is crucial for developing superior Artificial Intelligence for human use. In his talk, he delves into 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 enhance the quality, ethical framework, and societal impact of AI.

He emphasizes the importance of integrating human values, ethical considerations, and cognitive empathy into AI systems to foster better decision-making, ethical reasoning, and empathetic interactions. This approach empowers 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, ensuring the reliability of AI tools and contributing to the development of AI systems that align with human values and societal needs.

Ultimately, leveraging Authentic Intelligence will help software testers adapt to the evolving landscape and 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.

What you will learn

  1. Understanding the concept of Authentic Intelligence.
  2. Understanding erotetic model of reasoning to interact with LLMs.
  3. Applying Authentic Intelligence to help develop better AI.

Session Details

  • Intermediate
  • 45 minutes
  • Includes 15 mins Q&A
  • Testing the reliability, fairness, and safety of AI models
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Check out this video from Full Name to hear more about his talk, ‘Speaker’s Talk Title’.

We look forward to welcoming you to EuroSTAR 2025.

Session Speaker

EuroSTAR 2022 speaker Lalitkumar Bhamare

Lalitkumar Bhamare

Accenture Song, Germany

For the past 16 years, Lalit has excelled in test engineering and software quality leadership, currently serving as Engineering Manager at Accenture Song in Germany. He leads the Innovation and Thought Leadership group for Quality Engineering Services across Germany, Austria, and Switzerland. Lalits proprietary framework, Quality Conscious Software Delivery (QCSD), earned recognition at EuroSTAR 2022.

A dedicated contributor, he founded the non-profit Tea-time with Testers and serves as Director at the Association for Software Testing. Lalit is also an international keynote speaker and thought leader, continuously advancing the field of software testing. Learn more at https://talesoftesting.com/.

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