Suggestions
Sarah Bird
Taking Research to Products in AI Ethically and Responsibly @Microsoft
Professional Background
Sarah Bird is an esteemed Principal Program Manager at Microsoft, where she is leading innovative efforts in artificial intelligence, particularly focusing on AI products hosted within the Azure platform. Her work aims to accelerate the adoption and positive usage impacts of AI by seamlessly integrating cutting-edge research innovations with robust open source and product expertise. This dynamic combination fosters the creation of essential tools and technologies that empower businesses and individuals to leverage AI responsibly and ethically.
At Microsoft, Sarah spearheads the development of Azure AI Cognitive Services, ensuring that these technologies adhere to responsible and ethical guidelines. She is recognized as a leading expert in the implementation of responsible AI principles across the organization. Her contributions do not stop with development; Sarah plays an integral role in advancing responsible AI principles and best practices company-wide, enhancing the organization’s commitment to ethical technology deployment in AI applications.
Sarah led the product development of impactful responsible AI tools, including Fairlearn, SmartNoise, and InterpretML. These tools are instrumental in promoting fairness and transparency in machine learning models, and they reflect Sarah's deep commitment to fostering ethical standards in AI technology. Beyond her day-to-day responsibilities, she actively contributes to the Microsoft AETHER (AI and Ethics in Technology) committee, a group dedicated to overseeing the ethical use of AI in technology. A noteworthy achievement in her career is her involvement in creating the Microsoft Responsible AI Standard, a comprehensive framework that steers the development and implementation of responsible AI across various projects within Microsoft.
Open Source Contributions
SarahBird's contribution to the open-source ecosystem is substantial and influential. She is a co-founder of several significant projects, including ONNX (Open Neural Network Exchange), Fairlearn, and OpenDP's SmartNoise, which enhance machine learning capabilities and promote ethical AI practices. Furthermore, her leadership in the Pytorch 1.0 and InterpretML projects has solidified her reputation as a trailblazer in the machine learning systems research community. As an early pioneer in this domain, she actively participates in shaping and growing the community through mentorship, guidance, and support.
In addition to her contributions to AI tools, Sarah co-founded the MLSys research conference and the Learning Systems workshops, initiatives that foster collaboration and innovation among researchers, industry professionals, and academic leaders in machine learning systems.
Education and Achievements
Sarah is a proud alumnus of the University of California, Berkeley, where she obtained both her Master’s (M.S.) and Doctor of Philosophy (Ph.D.) degrees in Computer Science. During her graduate studies, she was advised by esteemed scholars including Dave Patterson, Krste Asanovic, and Burton Smith, all of whom have influenced her research direction and excellence. Before attending Berkeley, she earned her Bachelor of Science (B.S.) in Computer Engineering from The University of Texas at Austin, where she laid the foundation for her sophisticated understanding of technology and engineering principles.
In addition to her academic achievements, Sarah's extensive professional journey reflects her commitment to research and innovation. Prior to her current role at Microsoft, she served as a Technical Program Manager at Facebook, where she further honed her expertise in program management within one of the most influential technology companies. Notably, her career at Microsoft has included various roles such as Technical Advisor, Postdoctoral Researcher, and Research Intern, demonstrating a continuous trajectory of growth and learning in high-caliber environments. Her experience as an MSR-CUSP Postdoc at New York University and her role as a Research Assistant during her undergraduate studies have also contributed to her well-rounded understanding of both theoretical and practical aspects of computer science.
Sarah’s early career also includes significant internships at leading firms, including Google and IBM. These roles allowed her to develop diverse skills in engineering and project management, enriching her credential as an influential figure in the AI community. Her work experience at these prestigious organizations speaks volumes about her technical expertise, innovation mindset, and capacity to contribute meaningfully across various sectors of the technology landscape.
Achievements
Throughout her illustrious career, Sarah has achieved notable recognition not only for her technical skills but also for her unwavering commitment to responsible and ethical AI development. The tools and principles she has developed have had a meaningful impact, influencing how AI is integrated into societal structures—ultimately helping to reduce bias and increase accountability in AI systems.
As a celebrated contributor to both corporate and open-source ecosystems, Sarah's influence extends beyond individual projects; she plays a vital role in shaping the future of AI technology. Her advisory roles, research publications, and community-building initiatives resonate throughout the industry, positioning her as a critical figure in the development and implementation of ethical AI technology.
Moving forward, Sarah Bird aims to continue her advocacy for responsible AI and to inspire others in the field through collaboration and knowledge-sharing. Her multi-faceted roles and contributions strongly illustrate her dedication to bridging the gap between AI research and its real-world applications, promoting a future where technology serves humanity positively and inclusively.