Tulsee Doshi - Responsible AI and human centered technology
Dec 4, 2023
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Tulsee Doshi, Head of Product for Google’s Responsible AI and Human Centered Technology, shares her unique journey from intern to leader in ethical AI development. She discusses the importance of interdisciplinary approaches to create inclusive products. The conversation highlights strategies for incorporating responsible AI principles into technology and emphasizes the role of product managers in fostering collaboration. Tulsee also explains how to balance user diversity with innovation, ensuring technology prioritizes ethics and inclusivity while enhancing user trust.
Tulsee Doshi emphasizes the importance of integrating interdisciplinary perspectives in product development to create inclusive and user-centric technology.
A pivotal moment in Doshi's career highlights the necessity of ethical considerations in AI, shaping her proactive approach to responsible product management.
The evolving landscape of AI necessitates constant adaptation and responsiveness from product teams to maintain user trust and safety in technology.
Deep dives
Telsi Doshi's Journey into AI
Telsi Doshi shares her unconventional path into the technology field, reflecting on how her interests in computer science, psychology, and philosophy shaped her career goals. Initially uncertain about pursuing a technical career, she studied symbolic systems at university, which blended multiple disciplines and ignited her curiosity about AI ethics. A pivotal moment came during her quarter at Oxford, where she delved deeper into the philosophical conversations surrounding AI. This diverse background ultimately paved the way for her role as a product manager at Google, where she now leads initiatives in responsible AI.
The Role of Product Managers in AI
As a product manager, Telsi emphasizes the interdisciplinary nature of her work, which involves bridging gaps between various stakeholders, including legal, research, and engineering teams. She explains that product managers play a crucial role in ensuring that diverse perspectives are integrated into the product development process. This diversity is vital for creating solutions that genuinely address the needs of a wide range of users. By facilitating collaboration across different expertise areas, product managers can foster more innovative and inclusive products.
The Importance of Responsible AI
Telsi highlights the increasing significance of responsible AI in contemporary technology discussions, particularly in reaction to feedback from diverse user communities. Her experiences at YouTube illuminated the necessity of building inclusive and equitable products, prompting proactive measures like initiating a machine learning fairness effort. Recognizing that decisions made during product development can significantly impact users, she urges that responsibility considerations must be embedded throughout all stages of the product lifecycle. This proactive stance fosters a culture of care and attentiveness towards user experiences.
Evolving Challenges and Innovation
The rapid advancements in AI technology, especially in the past year, have amplified discussions surrounding responsible AI practices. Telsi explains that while the pace of innovation presents challenges, it also opens doors to applying existing responsible AI work to new contexts. As societal dynamics evolve, product teams must stay agile and responsive to emerging ethical considerations. By learning from past experiences and implementing best practices in real-time, teams can ensure their products maintain trust and safety for users.
Building Trust Through Inclusivity
Telsi identifies the relationship between responsible AI and trust, illustrating that user experiences must be built on principles of safety, inclusivity, and transparency. Drawing parallels to everyday experiences, she explains that just as one assumes their home will be safe, users should feel assured in their interactions with technology. Responsible AI efforts seek to ensure products are equitable and functional for diverse user groups, addressing various backgrounds and needs. Ultimately, fostering trust means continuously engaging with feedback from users and iterating on products to reflect their values and expectations.
Meet Tulsee Doshi, Head of Product for Google’s Responsible AI and Human Centered Technology. She leads development of Google wide improvements, resources, and best practices for developing more inclusive and ethical products. She shares her journey from starting as an intern product manager through Google’s APM program to finding a career that allows her to mix her interdisciplinary interests to benefit users. Learn about adopting ethical and responsible technology principles to protect users and build better products on this episode of People of AI. Discover how easy it is to incorporate AI principles into products through a forward thinking mindset, Google’s Responsible AI Toolkit in TensorFlow and more.