Programme launch offer - Save 20% Book Now

EuroSTAR Conference

Europe's Largest Quality Engineering Conference

Track Talk W11

The Hidden Code: Bias Testing for Ethical AI in Healthtech

Usha Kandala

15:00 - 15:45 CEST Wednesday 4th June

The integration of AI in healthcare holds immense promise, but it also carries the risk of perpetuating harmful biases. “The Hidden Code: Bias Testing for Ethical AI in Healthtech” is a must-attend talk for anyone involved in developing or deploying AI solutions in healthcare.

Attendees will gain a comprehensive understanding of the multifaceted nature of bias in AI, from data collection to model deployment and ongoing monitoring. The session will delve into practical strategies for identifying, mitigating, and preventing bias, empowering participants to develop and implement AI solutions that prioritize fairness and inclusivity.

Through case studies and interactive discussions, attendees will learn how to:

* Identify and Avoid Bias: Now, as we transition to AI technologies in healthcare, we must consider how these human biases can influence AI systems. AI algorithms are trained on historical data, which often reflects existing societal biases. If we fail to address these biases during the development of AI models, we risk perpetuating or even amplifying them. Recognize potential sources of bias in healthcare data, and implement strategies to mitigate their impact.

* Design a Bias Testing Framework: Designing a bias testing framework is critical to ensuring ethical AI in healthcare. It involves assessing data for demographic representation, ensuring algorithm transparency, and developing performance metrics focused on fairness rather than just accuracy. Regular iterative testing is needed to recalibrate models as data and populations evolve. Engaging diverse stakeholders ensures a broader perspective on potential biases, enhancing the system’s equity and inclusiveness.

* Utilizing Bias Testing for Fairness in AI
Once a bias testing framework is established, healthcare teams can leverage it in various ways to ensure fairness in AI applications.

This involves regular bias audits of AI systems to identify and correct skewed outcomes, inclusive design practices incorporating diverse perspectives, and real-world testing to uncover hidden biases before widespread implementation. Continuous training on ethical considerations and adherence to regulatory compliance are crucial for fostering fairness, accountability, and trust in AI-powered healthcare solutions.

By attending this talk, participants will not only gain essential knowledge but also contribute to a critical conversation about the ethical implications of AI in healthcare.

What you will learn

  1. Master bias detection: Learn to pinpoint potential bias sources in healthcare data and AI algorithms to ensure fair and inclusive healthcare AI applications.
  2. Build a bias testing framework: Develop a robust framework to evaluate and mitigate bias in AI systems throughout their entire lifecycle, from design to deployment.
  3. Implement practical strategies: Gain actionable tactics for conducting bias audits, fostering inclusive design, and ensuring ongoing monitoring to maintain fairness in deployed AI solutions.

Session Details

  • Intermediate
  • 45 minutes
  • Includes 15 mins Q&A
  • Ethical implications of AI
Buy Conference Ticket

Check out this video from Usha Kandala to hear more about her talk, ‘The Hidden Code: Bias Testing for Ethical AI in Healthtech.’

We look forward to welcoming you to EuroSTAR 2025.

Session Speaker

Usha Kandala

Usha Kandala

Firebucks, India

Usha Kandala is a senior Project Management and Quality Assurance professional with over 20 years of experience in developing and managing software products and product class applications. 

She initiated and developed QA practices and release processes in start-up environments, provided leadership and guidance to different teams running multiple product releases, and piloted globally distributed QA teams.

She holds a Master of Liberal Arts degree in Management & Operations from Harvard University, USA; and a Masters degree in Computer Science from Osmania University, India. 

She is also an alumnus of Goldman Sachs 10,000 Women Entrepreneurship Program from IIM Bangalore, India.

BACK TO PROGRAMME

Ticket Offer

Save 20% on individual tickets until February 28th

Book a group and save even more. The more you bring, the more you save.

Individual

From €1,352

save 20%

BOOK TICKET

Groups

From €1,002

Based on 10 Tickets

Book Group

Stay in the Loop

We want to ensure you never miss important announcements, updates and special offers from EuroSTAR.