AI Con USA 2025 - Ethical AI
Sunday, June 8
Fundamentals of AI—ICAgile Certification (ICP-FAI)
Wednesday, June 11
Best Practices for Using AI for Structured Data Extraction
Structured data extraction, or data tagging, is one of the easiest and impactful applications of modern AI. Before the wide availability of pre-trained AI models, the process of “understanding” unstructured data either required constructing complex heuristic logic or investing in a machine learning team who could train models in-house. Now, cheap and powerful tagging machines are an API call away, redefining what is possible for how we can understand our data. In this talk, I'll share how we’ve used AI at Yahoo News to improve our content understanding pipelines. Yahoo was a pioneer in...
The Impact of AI on Developer Productivity
Generative AI tools hold promise to increase human productivity. In the world of software development, GitHub Copilot was one of the first practical applications of the use of generative AI to support developer productivity. However, measuring software productivity is non-trivial. For example, developer productivity gains is more than just producing code faster. If these artifacts don’t meet quality standards or themselves bring cost efficiency challenges then there may not be much overall improvement. To truly understand the benefits and challenges of AI-powered copilots requires real-...
Operationalizing Disruptive Technologies: A Strategic Framework for Harnessing the Power of GenAI
The advent of disruptive technologies, particularly in artificial intelligence, has ushered in a new era of possibilities and challenges. This talk proposes a comprehensive framework for operationalizing disruptive technologies, specifically focusing on the transformative potential of Generative Artificial Intelligence (GenAI). As organizations grapple with integrating GenAI into their operations, there is a pressing need for a structured approach that addresses technical, ethical, and organizational considerations. Mary will delve into a strategic framework designed to guide businesses in...
Thursday, June 12
AI at Scale: Balancing Innovation, Governance, and Risk in Large Organizations
As AI reshapes industries, large organizations must scale innovation while upholding governance, security, and ethical responsibility. Deploying AI at scale isn’t just a technical challenge—it’s a strategic balancing act between agility and compliance, risk and reward. Andreas Bohman, CIO at the University of Washington, will discuss strategies to drive AI-powered innovation without compromising regulatory obligations, operational effectiveness, or public trust. He will share governance strategies that enable innovation rather than restrict it. He’ll also talk about addressing critical...
Navigating Compliance with the EU AI Act: Strategies for Responsible AI Development and Governance
As AI systems continue to transform industries, the EU AI Act sets a pivotal regulatory framework to ensure responsible and ethical use of artificial intelligence across Europe. This session will provide practical insights into navigating compliance with the EU AI Act, addressing key requirements for high-risk AI systems, transparency, accountability, and data governance. Joanna will explore how organizations can align their AI development processes with the Act's standards while maintaining innovation. Attendees will gain actionable strategies for integrating compliance into existing...
Empathy in Code: Balancing Emotional Intelligence with Ethical Boundaries in AI
As AI systems increasingly support the social and emotional well-being of humans, the integration of human-like interactions presents both opportunities and significant risks that necessitate the use of trauma-informed principles in design. This session examines the delicate balance between creating emotionally intelligent AI and maintaining essential ethical boundaries. Join Megs to explore critical decisions in AI development: when emotional support should be provided versus redirected to human professionals, how to establish clear limitations in AI capabilities, and methods for...