AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics cover image

321: Can AI Really Predict Startup Success? Data Ethics, Trust, and Insights from Megh Gautam, Crunchbase CPO

AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics

CHAPTER

Navigating AI and Content Ownership

This chapter examines the effectiveness of AI-driven predictions versus human methods, emphasizing the potential for AI to reduce biases. It also addresses the complexities surrounding content ownership, data usage, and the evolving marketplace between data providers and large language models. The discussion highlights the need for transparency and fair compensation for creators, as well as the importance of balancing accessibility and liability in the rapidly changing AI landscape.

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