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Acting Responsibly: What are Generative AI’s Risks and Rewards?

Generative AI’s risks versus rewards remain a critical topic across industries and sectors. In the meantime, Generative AI continues to revolutionize industries across the board with unparalleled opportunities for innovation and efficiency. However, Generative AI also brings significant challenges, including a range of ethical, legal, and operational challenges. Organizations must navigate these ongoing, novel complexities regularly to responsibly leverage AI’s transformative potential.

As corporate leaders and policymakers explore the vast potential of Generative AI, embracing responsible practices becomes essential. Throughout this ongoing process, engaging the right stakeholders in ongoing discussions about AI usage is crucial for aligning with ethical and legal standards. Doing so ultimately maximizes benefits while minimizing risks. But what does this look like in action? To help organizations understand and address ongoing challenges, SAI360 participated in Compliance Week’s webinar, Acting Responsibly with Generative AI: How to Manage the Risks and Rewards in the Workplaceon June 13th, 2024. Here, attendees gained crucial insights into aligning AI initiatives with ethical and legal standards.

Generative AI's risks

A Quick Webinar Overview 

This comprehensive webinar was tailored for corporate leaders, policymakers, compliance professionals, and anyone involved in AI strategy and implementation. Topics covered included: 

  • The transformative potential of generative AI in business 
  • Key applications and common biases
  • Legal and ethical considerations 
  • Conducting risk assessments for implementation 
  • Developing comprehensive policies around Generative AI’s risks and rewards

Watch the Webinar

Click here to watch the webinar on promoting responsible AI practices and supporting organizations in navigating the complexities of AI adoption: Acting Responsibly with Generative AI: How to Manage the Risks and Rewards in the Workplace 

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