Episode 145: The Responsible Tech Revolution with Tanya Johnson, Chief Product Officer at Auror
Nov 15, 2023
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Tanya Johnson, Chief Product Officer at Auror, discusses responsible and ethical tech. They explore the importance of diverse teams and responsible AI. They also discuss understanding unintended users and the value of in-person visits. The topic of responsibility and accountability in tech is covered along with the framework for responsible tech and AI.
Responsible tech and AI encompass more than just the product itself, involving considering the systems, processes, and cultures within an organization that support responsible product development.
Building diverse teams is crucial for responsible tech and AI development, as diverse teams provide perspectives and experiences that capture a wider range of user needs and challenges.
Deep dives
Responsible tech and AI require a holistic approach
Responsible tech and AI encompass more than just the product itself. It involves considering the systems, processes, and cultures within an organization that support responsible product development. Companies should focus on creating value for customers through technology that advances with purpose and responsibility.
Understanding the ethical implications of AI usage
Companies should critically evaluate when and how to use AI. Instead of treating AI as a buzzword or a way to adopt new technology for the sake of it, product managers should deeply understand user problems and determine if AI can provide a better solution. Training product managers in AI is important, as they should have a clear understanding of its operation and limitations.
Prioritizing diverse teams for responsible tech and AI
Building diverse teams is crucial for responsible tech and AI development. Diverse teams provide perspectives and experiences that capture a wider range of user needs and challenges. Product leaders should actively seek to build teams that represent their target markets, considering factors such as gender, ethnicity, cultural background, and more.
Principles and considerations for responsible tech and AI
To ensure responsible tech and AI, companies should establish principles and frameworks that guide decision-making. These principles can include fairness, transparency, privacy, accountability, human control and oversight, and community benefit. Regular auditing and monitoring of usage, as well as addressing misuse promptly, are essential in mitigating risks and ensuring responsible AI usage.
In this episode of Product Thinking, Tanya Johnson, Chief Product Officer at Auror, joins Melissa Perri to explore the importance of responsible and ethical use of tech and AI. They unveil the essence of ethical product development, embracing responsibility and diversity across product teams; explore strategies for building authentic diversity in tech teams; and share Auror’s framework for responsible tech and AI.
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