Webinar: From Talk to Practice: Operationalizing AI Ethics in Tech

For all the talk and media buzz around it, incorporating AI Ethics into technology development continues to be challenging. Part of the difficulty is reconciling ethical principles with the company  culture and other is alignment of ethical AI practices with business processes and objectives. In our  September AI Expert webinar, we will go beyond rhetoric to dive into practical challenges in  implementing AI Ethics principles in tech creation and how to address them. 

For this important and timely discussion, we have invited Dr. Stacy Hobson, Director, Responsible  Tech Research, IBM Research. Dr. Hobson will share some of the work done by her team, including research to uncover ongoing challenges of practically embedding and operationalizing ethics,  especially in large organizations. We will also discuss the practical methods and tools that her  team has developed to support responsible technology creation. 

Join us on Thursday, September 25 at 11a ET for this much-needed discussion on how to start  redefining AI practices and culture to foster ethical technology development practices.

SPEAKER/S PROFILE:

Dr. Stacy Hobson is Director of the Responsible Technologies Research group at IBM Research. Her group’s research focuses on understanding the societal impacts of technology and promoting tech practices that minimize harms, biases, and other negative outcomes. Her team also develops practical methods and tools to support responsible technology creation. Her prior research has spanned multiple areas including topics such as addressing social inequities through technology, AI transparency, data sharing platforms for governmental crisis management and risk management techniques for financial services.

Stacy has authored more than 20 peer-reviewed publications and holds 16 US patents. Stacy earned a Bachelor of Science degree in Computer Science from South Carolina State University, a Master of Science degree in Computer Science from Duke University and a PhD in Neuroscience and Cognitive Science from the University of Maryland at College Park. Stacy is fortunate to have the opportunity to use her expertise as a scientist in an area that she is very passionate about – addressing problems that matter for the world.

LINKS & RESOURCES

• Research at IBM – People
• A Responsible and Inclusive Technology Framework for Attending to Business-to-Business Contexts
• Towards Labor Transparency in Situated Computational Systems Impact Research
• Historical Methods for AI Evaluations, Assessments and Audits
• Rethinking AI Safety: Provocations from the History of Community-based Safety Practices
• Can LLMs Recommend More Responsible Prompts?
• SPRI: Aligning Large Language Models with Context-Situated Principles
• Unlocking AI Opportunities with the Responsible Generation and Use of Synthetic Data