Women in Data Science Puget Sound 2024

In the past year generative AI applications have emerged as powerful tools capable of creating new, previously unseen content. However, with great power comes great responsibility. This talk will delve into the ethical implications and responsibilities associated with the development and deployment of these applications.
We will begin by defining generative AI and its various applications in business scenarios our teams have seen today. We will then explore the concept of Responsible AI, discussing its importance in ensuring the ethical use of AI technologies. We will highlight the potential risks and challenges posed by generative AI, such as the creation of deepfakes, the potential for bias in generated content, and issues related to data privacy.
The talk will also cover practical advice for measuring and mitigating risks in generative AI applications based on enterprise use cases. We will discuss strategies and current best practices for incorporating ethical considerations into the AI development process, such as transparency in AI decision-making, robustness against manipulation, and respect for user privacy. Specifically, we will talk about how businesses experiment with their generative AI solutions (e.g., prompt orchestration); how they evaluate their solutions to go to production (e.g., LLM-based metrics, red-teaming, use of synthetic data for testing); and how they continue monitoring the health of their solutions (e.g., performance metrics, data science metrics). We will also explore the importance of cross-functional collaboration in addressing these challenges, emphasizing the need for input from ethicists, legal experts, social scientists, and user experience professionals.
Finally, we will present case studies of responsible generative AI applications, demonstrating how businesses approach turning responsible AI principles into actionable items as they create solutions for their use cases. We will conclude with a discussion on the future of Responsible AI in the context of generative applications, considering both the opportunities and challenges that lie ahead.
This talk aims to equip data scientists with the knowledge and tools to develop generative AI applications responsibly, ensuring that these powerful technologies are used in a manner that respects user privacy, promotes fairness, and benefits society as a whole. Join us as we navigate the ethical landscape of generative AI, fostering a future where AI serves as a force for good.