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‘OpenAI’ or ‘Open-Source’? The Ethical and Business Considerations of Today’s Generative AI

Unpacking the Pros, Cons, and Consequences of Different AI Adoption Strategies in the Contemporary Business Landscape.

Summary:

We will explore the different types of generative AI, the challenges and opportunities they present, and the factors that organisations should consider when choosing between open-source and proprietary AI solutions. 

During the event, we will unpack the concept of AI not being a mere binary choice between ‘open’ or ‘closed’. We’ll explore how the openness of an AI system lies on a gradient, each point presenting unique considerations around ethics, business viability, and risk management. We’ll delve into instances where closed systems limit external audits, while entirely open systems increase potential misuse.

We’ll also look at the shift in the field, from initially being mostly open-source to increasingly closed-source, and its implications on the democratization of AI. Moreover, we’ll discuss how organizations have been adapting their approaches to system openness based on their respective needs and risk tolerance.

By acknowledging the diverse nature of generative AI system releases, we aim to help you navigate these complexities more efficiently. This event promises to equip you with the insights and knowledge you need to make informed decisions in line with your organization’s strategic goals and ethical obligations.

Be prepared for a stimulating discussion that shines a light on the ethical and business implications of generative AI in our digital age. We look forward to your participation.

Objectives:

  • Understanding the Spectrum: To aid participants in comprehending the continuum of openness in generative AI, from completely closed to entirely open systems, and the various positions in between.
  • Highlighting Implications: To shed light on the ethical considerations, business impacts, and potential risks associated with different degrees of openness in AI models.
  • Discussing Real-world Cases: To examine real-world cases of both open-source and proprietary AI implementations, and understand their decision-making processes, challenges faced, and solutions adopted.
  • Navigating the Trade-offs: To guide participants in navigating the trade-offs between open and closed systems, including issues of transparency, risk mitigation, intellectual property, and more.
  • Fostering Collaboration: To stimulate dialogue and collaboration among participants, fostering a community committed to sharing insights and best practices for the responsible implementation of generative AI.

Why Attend:

This forum is essential for anyone who wants to understand the ethical and business ramifications of adopting open-source and proprietary generative AI systems. You will gain valuable insights from experts in the field, participate in stimulating discussions, and shape your company’s AI strategy. 

Who Should Attend:

  • C-Suite Executives (CEO, CIO, CTO, etc.)
  • Business Strategists and Decision-makers
  • AI Ethicists and Professionals
  • IT Managers and Tech Leaders
  • Academics and Researchers in AI and Ethics
  • Policymakers in Technology Regulation

Register for the Forum here

July 25 @ 4:00 pm - 6:00 pm
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