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Women in Big Data Berlin Tackles AI Ethics: Inclusion, Regulation, and Climate Change

Women in Big Data

By WiBD Team,

July 9, 2024

berlin event image

On June 26th, Women in Big Data Berlin assembled a powerhouse of speakers at Infosys to explore the intricate web of AI ethics. The event’s focus on inclusion, regulation, and climate change sparked engaging presentations and dynamic discussions, making it a resounding success.

Diversity Mitigates Bias in AI Development

Katarzyna (Kasia) Stoltmann kicked off the event by emphasizing the critical role of diversity in AI development teams. She highlighted how unconscious bias can be mitigated by fostering inclusive teams, ultimately leading to the creation of more inclusive AI. Kasia provided actionable best practices to help organizations achieve this essential goal.

AI’s Impact: A Double-Edged Sword for Climate Change

Sofia Trojanowska 🇺🇦🇮🇱🇦🇲  presented a thought-provoking discussion on AI’s impact on climate change. While acknowledging the potential for AI to consume vast amounts of energy (equivalent to 735 power plants in 62 years!), Sofia offered a positive outlook. She showcased how AI can be harnessed for sustainability, demonstrating Infosys’ AI applications that promote green energy solutions.

Human Oversight Remains Crucial in the Age of AI

Andrea Hendrickx emphasized the necessity of maintaining human oversight in AI systems. Her compelling example of security cameras misidentifying people in patterned clothing as giraffes served as a stark reminder of AI’s potential pitfalls. The discussion then delved into Infosys’ Responsible AI Office’s guiding principles and practical AI use cases, including Digital Twin AI Image Generation for online retail.

Building Trust and Navigating the Regulatory Landscape

Joachim Bühler tackled the complex issue of building trust in AI. He addressed the challenges of AI auditing, explained the EU AI Act’s risk classes, and outlined essential structures for testing AI systems.

Diverse Perspectives Shape Key Takeaways

The insightful panel discussion, expertly moderated by Yulia Tokareva, brought together the diverse perspectives of the speakers. Here are some key takeaways that emerged:

  • The Need for Standardization: AI regulation is struggling to keep pace with rapid advancements, highlighting the need for improved standardization.
  • AI’s Fallibility: Different AI models can provide varying answers to the same question, underscoring the importance of understanding limitations.
  • Risk Assessment in Marketing and Sales: AI applications in marketing and sales were identified as posing the least risk, compared to other areas.
  • Clarity Needed in the EU AI Act: The current EU AI Act lacks clear guidance on handling high-risk applications.
  • Prioritizing AI Security Testing: The significant impact of AI necessitates prioritizing cybersecurity testing for these systems.

A Heartfelt Thank You

A sincere thank you to all the speakers and participants who made this event a truly enlightening experience. Your valuable insights and contributions are essential as we navigate the ever-evolving landscape of AI ethics.

 

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