777: Generative AI in Practice — with Bernard Marr (@bernardmarr)

Ethical Challenges

Generative AI presents significant ethical challenges, particularly concerning data bias and responsible usage. Jon Krohn and Bernard Marr discuss the importance of addressing these issues, emphasizing that while technical problems like hallucinations can be mitigated, the ethical use of AI remains complex 1. Bernard highlights the need for human oversight to ensure AI systems are used ethically and responsibly 2. He notes, "Organizations need to approach AI responsibly and ethically and in accordance with law" 1.

   

AI and Copyright

The use of AI-generated content, especially in music, raises complex copyright issues. Bernard explains that while AI can create music that mimics artists like Sia, releasing such content poses significant copyright challenges 3. He observes that some artists are open to licensing their voices for AI use, while others are not, highlighting the ongoing debate over ownership and rights 3. Jon adds, "The most interesting example of someone in entertainment being okay with their voice being used to make music, as long as they get royalties, is Grimes" 3.

   

Deepfake Concerns

AI's ability to create deepfakes poses a threat to online reality, necessitating critical thinking skills. Bernard expresses concern over the potential for AI to make everything online appear augmented or fake, emphasizing the need for public awareness and education 4. He warns that without critical thinking, people may struggle to discern real from fake content, particularly in political contexts 5. "There's a real risk that in a few years time, literally everything we will see online is AI augmented or fake," Bernard cautions 4.