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Responsible AI: What it means for Software Quality Assurance

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Featuring:

Riya Matai, Head of Testing CoE, HERE Technologies
Saksham Sarode, Practice Head – Digital Assurance and RPA, NewVision Software
Rohit Piparsania, VP, Amdocs Quality Engineering, India and Cyprus, Amdocs (Moderator)

Following last year’s webinar (Nov-2023) and the subsequent whitepaper where we deep-dived into how Gen AI is shaping job roles/functions in the Software Quality Assurance segment, we continue this conversation with a focus on Responsible AI.

AI models are increasingly being used in various business use cases and therefore, it is important for organisations to ensure that their AI models adhere to Responsible AI principles for the safety of users and the society, at large. A critical part of making sure that the models function within these boundaries is to test and certify them.

In this webinar, the panelists explored the role of Quality Assurance in testing/certifying AI models, the challenges and risks involved; they discussed current methods/approaches to certification and highlighted important performance metrices to evaluate.

Please listen to this exciting conversation.

Here are links to the Nov-2023 webinar and a few relevant reports: Webinar (Nov 2023):    • How GenAI is accelerating Quality Sof...   Software Quality Assurance-Building AI-driven competencies (Jan 3, 2024): https://community.nasscom.in/communit...

Responsible AI Guidelines for Generative AI (Jun 2023): https://nasscom.in/ai/img/GenAI-Guide...
Responsible AI: Architect’s Guide:
https://indiaai.gov.in/responsible-ai...
State of Responsible AI in India, 2023:
https://nasscom.in/ai/pdf/the-state-o...

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