AI's Impact on Society: Beyond the Hype and Hysteria

🌍AI models contribute to climate change and emit significant amounts of carbon dioxide during training.

🖼️Artists and authors often find their work used for training AI models without their consent, leading to copyright issues.

👥AI models can encode biases and perpetuate stereotypes, leading to discriminatory outcomes, especially for marginalized communities.

🔍Tools like CodeCarbon and Stable Bias Explorer help measure and understand the environmental and bias impacts of AI models.

🛣️As AI continues to develop, it's crucial to create guide rails and regulations to protect society and the planet.

Do AI models contribute to climate change?

—Yes, AI models require substantial energy and emit carbon dioxide during training, contributing to climate change.

Is the use of artwork and books in AI training ethical?

—No, in many cases, artists and authors find their work used for training AI models without their consent, raising ethical concerns.

Can AI models perpetuate biases and stereotypes?

—Yes, AI models can encode biases and perpetuate stereotypes, leading to discriminatory outcomes, especially for marginalized communities.

What tools can be used to measure the impact of AI?

—Tools like CodeCarbon estimate the energy consumption and carbon emissions of AI models, while Stable Bias Explorer helps understand bias in image generation models.

How can we protect society and the planet from the impacts of AI?

—By creating regulations, governance mechanisms, and choosing sustainable and unbiased AI models, we can mitigate the impacts and protect society and the planet.

00:00The speaker has been an AI researcher for over a decade and highlights the real impacts of AI on society.

02:36AI models contribute to climate change through energy consumption and carbon emissions during training.

04:23Artists and authors find their work used for training AI models without consent, leading to copyright concerns.

06:04AI models can perpetuate biases and stereotypes, causing discriminatory outcomes.

07:31Tools like CodeCarbon and Stable Bias Explorer help measure and understand the environmental and bias impacts of AI.

09:41Creating regulations, governance mechanisms, and choosing sustainable and unbiased AI models can protect society and the planet.

09:50The speaker believes that focusing on AI's current impacts is crucial, rather than only considering future existential risks.

10:08We are still shaping the path of AI and can collectively decide its direction.