From Fortune Brainstorm AI: What does it take to make AI?
Jan 1, 2025
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Dive into an insightful discussion on the complexities of building artificial intelligence. Discover the significance of ethically sourced data and how it can reduce biases in AI training. Learn about the critical balance between human involvement and computational power for successful AI development. The panel also highlights the need for fair compensation in data contributions and critiques the investment disparities in the sector. Explore the implications of AI on workforce dynamics and the increasingly complex legal landscape surrounding these technologies.
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Quick takeaways
Ethically sourcing data is crucial for training AI models to combat biases and promote diverse societal representation in technology.
Incorporating humans in the AI development process not only enhances quality but also addresses ethical practices and fair labor conditions.
Deep dives
The Masters of Scale Business Awards
The 2025 Masters of Scale Business Awards have opened applications to recognize organizations that demonstrate notable qualities and achievements in their business journeys. This initiative encourages participation from companies of all sizes, not just those recognized as Fortune 500 or unicorns. The emphasis is on sharing diverse success stories from different stages of growth, underscoring the belief that every entrepreneurial journey deserves celebration. Interested candidates are invited to apply, highlighting the inclusive nature of these awards.
Ethics and Data in AI Development
Ethically sourced data is crucial for training AI models, as it helps address existing biases in internet content, which is often unrepresentative of diverse societal perspectives. Companies like Defined AI aim to create a marketplace for training data that ensures participants are fairly compensated and that the data used is both legally vetted and ethically obtained. This focus on ethical sourcing not only promotes social responsibility but also fights against cultural and gender imbalances in AI applications. Furthermore, discussions highlighted the need for greater equity in the investment landscape to support underrepresented groups in AI.
The Human Component in AI Processes
The role of humans in AI development is increasingly recognized as essential for ensuring quality and ethical practices. Companies like Invisible Technologies emphasize the importance of engaging and well-compensated workers to create high-quality data and perform evaluations of AI models. This 'humans in the loop' concept helps mitigate the exploitation often associated with low-paid labor in the tech industry. As AI technology evolves, the demand for new job roles, such as AI trainers and legal consultants, will grow, emphasizing the need for skilled human oversight in these automated environments.
What does it take to make AI? This is a question Dr. Rana el Kaliouby explored in a moderated discussion at this year’s Fortune Brainstorm AI featuring Daniela Braga, founder and CEO of Defined AI; Benjamin Plummer, CEO of Invisible Technologies; and Jonathan Ross, founder and CEO of Groq. In this special presentation of the live panel, we dive into the nuts and bolts of making artificial intelligence, how to ethically source the data we need to power large language models, and why we should keep humans in the loop.
This recording was made at Fortune’s 2024 Brainstorm AI Event and used with permission from Fortune. You can find this conversation and more from Fortune Brainstorm AI at Fortune.com
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