In an era where generative AI is becoming deeply integrated into our daily lives, the question of safety is critical. This workshop explores “Safety by Design,” a proactive approach to building safeguards throughout the development lifecycle.

Attend this workshop to take a deep-dive into into:

1. Safety by Design Principles: We’ll begin by defining Safety by Design, a philosophy that prioritizes minimizing harm during the design, development, and deployment of generative AI systems.

2. Safety Risk Concerns: We’ll delve into safety risks, including bias, misinformation, and malicious content generation. We’ll explore how these risks can emerge from data selection, model training, and user interaction.

3. Mitigating Safety Risks: We’ll discuss mitigation strategies, covering practices like responsible data sourcing, building fairness checks into models, and implementing safeguards against misuse.

By attending this workshop and adopting a Safety by Design approach, we can ensure generative AI flourishes while minimizing potential harm.