Axios

Revenge of the AI bubble

The AI bubble debate has lurched through at least three frenzied phases in the span of three years:

AI is ushering in a new era of colonialism

As AI changes the way the world gathers information, some critics say that it is perpetuating stereotypes and erasing cultural nuances for Indigenous groups and people of color.

GLAAD's CEO says AI bias puts LGBTQ+ people at risk

AI has been trained on biased data that can reinforce harmful stereotypes and spread misinformation about LGBTQ+ people, said GLAAD CEO Sarah Kate Ellis. AI is increasingly embedded across platforms, and companies must ensure it is trained responsibly because the harm can extend far beyond digital communications.

The Rattled Generation: A unified theory of this American moment

We're living through the most disorienting societal moment since World War II.

AI stumbles on questions of faith

Artificial intelligence models are quietly shaping spiritual advice—often by leaving faith out. As churches, apps and spiritual chatbots embrace AI, new research suggests general-purpose models may be ill-equipped to handle sensitive questions of faith: grief, forgiveness, marriage, guilt and conversion.

Inside the Democratic resistance on AI

Progressive Democrats taking hardline positions against AI are getting louder. Five influential progressives are shaping a confrontational Democratic message on AI, distinguishing themselves from party centrists by openly challenging data centers and AI-linked political money. At the center is Sen.

OpenAI readies cyber, misinformation defenses ahead of elections

OpenAI is announcing new partnerships to combat misinformation, offering its cybersecurity products to state officials and backing legislation ahead of elections in the U.S. and globally.

Tech giants back new data center climate initiative

Microsoft, Google, Amazon, and Meta are teaming up with a nonprofit investor to accelerate new technologies using data centers as test cases. The initiative, led by Elemental Impact, is among the clearest attempts yet to turn the massive buildout of AI infrastructure into a proving ground for new technologies rather than just a new source of emissions.