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AI is projected to contribute $15.7 trillion to the global economy by 2025, yet women represent less than 22% of AI talent. This significant gender gap highlights the need for women's involvement in shaping AI technologies that prioritize accountability and inclusivity. Women are essential in guiding AI development towards social responsibility through mentorship and interdisciplinary collaboration.
The article emphasizes the importance of diverse perspectives in AI development, particularly from women, to address biases and ethical concerns. Companies like Google, IBM, and Microsoft have adopted responsible AI frameworks, but these principles must be implemented with diverse teams to be effective. Supporting women-led initiatives and startups can directly tackle systemic issues in AI, ensuring technology serves all communities equitably.
• AI's contribution to the global economy is projected at $15.7 trillion by 2025.
• Women make up less than 22% of AI talent globally, highlighting a critical gap.
Responsible AI refers to frameworks that prioritize fairness, transparency, and accountability in AI development.
Bias in AI refers to systematic errors in algorithms that can lead to unfair outcomes, affecting marginalized groups.
Human-Centered Design focuses on creating AI applications that prioritize user needs and accessibility.
Microsoft is involved in developing responsible AI frameworks that guide ethical AI practices.
ai utilizes AI to automate hiring processes, addressing systemic issues in recruitment.
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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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