Welcome to QA Quest!

🙋 Questions
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As you stand at the crossroads of AI reliability, which door :door: will you open first to embark on your testing quest?

Choose your door wisely: :thinking:

:door: A - Dat Integrity Challenge : Behind it lies the path of verifying the cleanliness, diversity and impartiality of datasets.

:door: B - Algorithmic Odyssey : Beyond this awaits the journey of assessing model precision, efficiency and resilience.

:door: C - Ethical Exploration : Open the door to ensure AI aligns with ethical guidelines and social values.

Share your insights on this adventurer expedition!

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:door: A - Data Integrity Challenge, is a standout. In addressing data integrity issues up front, we pave the way for subsequent algorithmic testing and ethical exploration, leading to the trustworthy AI we seek.

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@hiroksarker
Its fantastic to hear your insightful perspective on choosing the A as your starting point.
Indeed, prioritizing data integrity lays a strong foundation for subsequent testing phases.
Thankyou for your valuable insights on this :handshake:

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Hi @ansha_batra

When I stand at the crossroads of AI reliability,I would go with both Dat Integrity
As Data integrity goes alone with the process that ensures the accuracy, completeness, consistency, and validity of an data.

Challenge and Ethical Exploration
Trust and explainability are crucial aspects of AI systems, particularly in the application to critical areas such as healthcare and finance. Users need to trust that the AI system is making decisions in their best interest and based on ethical principles.

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Hey Ansha, all the doors are having crucial aspects of AI reliability. So, after a bit of thought I felt like starting my expedition towards :door: B - Algorithmic Odyssey.

We can detect biases/unintended consequences early by focusing on algorithmic aspects. Also assessing model precision, efficiency & resilience determines the practicality of deploying AI solutions.

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