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The Dataquest conclave highlighted the critical need for women's leadership in AI to address biases and promote equity. Panelists discussed the stark gender gap in AI, with only 22% of professionals being women, and emphasized the importance of diverse representation in AI development. The conversation focused on actionable steps to create a more inclusive AI ecosystem.
Key issues included the impact of AI on the care economy and the necessity for ethical leadership in AI. The panelists called for initiatives to ensure at least 20% female representation in AI companies and highlighted successful examples like DeepSeek. The conclave reinforced that collective action is essential for AI to serve as a tool for equitable progress.
• Only 22% of AI professionals globally are women.
• AI policies must ensure digital literacy for rural women.
Bias in AI refers to systematic errors that can lead to unfair outcomes, often stemming from unrepresentative training data.
The digital divide highlights the gap between those with access to digital technologies and those without, particularly affecting rural women.
Ethical AI emphasizes the importance of accountability and transparency in AI systems to prevent harmful biases.
IBM Watson develops AI technologies that can assess and bridge gender disparities in research and education.
DeepSeek exemplifies successful gender diversity in AI leadership, demonstrating that equitable representation is achievable.
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
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Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
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