Brooke Hopper, Principal Designer at Adobe, discusses the role of AI in creativity, ethical data sourcing, challenges of deep fake technology, protecting personal privacy, integrating AI in design and education, Miro for collaboration, generative AI in design, and envisioning an art-infused future with AI.
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Quick takeaways
Machines learn from diverse human data to enhance creativity.
Use licensed data to prevent bias in AI training and protect artists' content.
Deep dives
The Relationship Between Creativity and AI
Brooke Hopper discusses the evolving relationship between creativity and AI, highlighting that machines learn from human input and data. She emphasizes the importance of providing machines with accurate and diverse data to enhance their learning capabilities.
Understanding Different Types of AI
Brooke explains the distinctions between artificial intelligence, machine learning, and generative AI. She offers examples of how these AI types are commonly used, such as speech detection and detecting banking fraud.
Addressing Human Bias in AI
Brooke delves into the impact of human bias on AI systems, particularly in areas like banking and generative AI outputs. She stresses the need to mitigate bias in AI by ensuring fair and licensed data is used for training.
Ensuring Fairness and Transparency in AI Training
The discussion shifts towards ensuring fair and transparent AI training by using licensed data and metadata embedding to track content origins. Brooke advocates for artist protections to prevent unauthorized AI training on creators' content.
Principal Designer at Adobe, speaker, and champion for artists, Brooke Hopper’s passion is designing better experiences for some of the most talented people in the world. She joins live at SXSW to discuss the role of machine intelligence and new technologies in creativity.
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