How to drive bias out of AI without making mistakes of Google Gemini
Publishing timestamp: 2024-03-27 10:55:06
Summary
The article discusses the potential dangers of generative artificial intelligence due to bias issues, and emphasizes the importance of transparency, diversity in development teams, robust data collection processes, continuous evaluation, human oversight, and industry collaboration to address bias concerns and ensure ethical use of generative AI.
Sentiment: MIXED
Keywords: business news, science, generative ai, alphabet class c, alphabet inc, technology, artificial intelligence,