Welcome to Gen-AId's AI Ethics Blog!

Joy Buolamwini
Founder of the Algorithmic Justice League, Buolamwini emphasizes the reflection of societal biases in AI data: 'When you think about AI, it's forward-looking, but AI is based on data, and data is a reflection of our history. So, if we've had a history of discrimination, guess what? That's in our data.'

Geoffrey Hinton
A pioneer in deep learning, Hinton highlights the importance of understanding AI's limitations: 'We need to be able to understand and address how AI can falter, in three pivotal ways. First, it's only as good as the data we feed it. If that data is biased, unrepresentative, or flawed, the ... —sometimes with serious repercussions.'

Yoshua Bengio
A leading AI researcher, Bengio warns about the potential dangers of AI: 'Without proper safety measures, AI could lead to significant societal harm, including loss of human control and malicious uses.'

Rashida Richardson
An expert in AI ethics, Richardson discusses the challenges of algorithmic bias: 'If you are in a community with a historically corrupt or notoriously racially biased police department, that will affect how and whether people report crime.'

Eric Horvitz
Chief Scientific Officer at Microsoft, Horvitz emphasizes the importance of AI safety: 'We must address technical and societal challenges and opportunities with the fielding of AI technologies in the open world, including beneficial uses of AI, AI safety and robustness, and where AI systems and capabilities can have inadvertent effects, pose dangers, or be misused.'