🖼️Gemini AI image generator faced backlash for generating racially diverse and historically inaccurate images.
🤖Google's chatbot also received criticism for giving incorrect responses on political figures.
🔁Chatbots are trained using large sets of data, but biases in the training data can lead to skewed patterns.
🔍Reviewers play a crucial role in checking and fine-tuning chatbot responses to minimize biases.
💰Google lost $90 billion in market value due to the Gemini controversy.
What is Gemini AI?
—Gemini AI is an image generator tool developed by Google that uses AI algorithms to generate images based on user prompts.
Why did Gemini receive backlash?
—Gemini faced backlash for generating racially diverse images instead of accurate historical representations and for giving incorrect responses on political figures.
What is the impact of the controversy on Google?
—Google lost $90 billion in market value as a result of the Gemini controversy.
How are chatbots trained?
—Chatbots are trained on large sets of data, including conversations, chat logs, and online forum responses. They learn to identify patterns within the data and generate outputs accordingly.
How can biases in chatbot responses be minimized?
—Biases in chatbot responses can be minimized through thorough review and fine-tuning by human reviewers, as well as by addressing biases in the training data.
00:00Google's Gemini AI image generator generated racially diverse images when asked for accurate historical representations.
01:22Gemini's chatbot also received criticism for giving incorrect responses on political figures.
02:32Chatbots are trained on large sets of data, but biases in the training data can lead to skewed patterns.
03:58Reviewers play a crucial role in checking and fine-tuning chatbot responses to minimize biases.
04:28Google lost $90 billion in market value due to the Gemini controversy.
