Pretty rich from someone running a social media site, a category that literally invented engagement maximisation via clicks to make money.
ETHICS
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AI Environmental Impact and Climate Solutions Debate
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On the next Mystery AI Hype Theater 3000 live stream @parismarx joins @alexhanna and me for an update on the environmental impacts of “AI” and pious songs tech leaders are singing about “AI” “solving” the climate crisis. Monday October 21, noon Pacific
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Leading AI Adoption: Bold Strategy and Learning Culture
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What does it take to lead in AI? Louise Herring from McKinsey dives into the keys to AI adoption—embracing bold, strategic decisions while balancing innovation with responsibility. In her conversation with Cohere, she emphasizes fostering a learning culture to unlock AI's full… pic.twitter.com/QeXO5XPBVS
— Cohere (@cohere) 17 octobre 2024What does it take to lead in AI? Louise Herring from McKinsey dives into the keys to AI adoption—embracing bold, strategic decisions while balancing innovation with responsibility. In her conversation with Cohere, she emphasizes fostering a learning culture to unlock AI's full
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Academic Influence Chain: Professors, Press, and Policy
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The professors tell the press and the press tells the politicians and the politicians do as they’re told.
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AI Fact-Checking and Bias in Personalized News Summarization
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There is some degree of fact checking in here. And on summarizing news depending on each user’s political view, it would be controversial!
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Local Collaboration Key to Culturally Sensitive AI Ethics
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Thank you for sharing your thoughts, @HassanProTech
. Local collaboration is key to navigating the ethical nuances of AI across different cultures. By prioritizing local perspectives, companies can develop AI ethics models that are both effective and culturally sensitive. -
Ethics in AI: Beyond One-Size-Fits-All Approaches
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Thank you for your thoughtful comment, @sarbjeetjohal
. I completely agree—ethics are deeply influenced by cultural, political, and economic factors, and a one-size-fits-all approach can fall short, especially in something as nuanced as AI ethics. Creating frameworks that respect -
Balancing Local Culture with Global AI Ethics Standards
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Thanks for your insight, @scifi_techph
. I agree—it’s all about balancing local cultural values with global AI regulations. Creating frameworks that adapt to regional nuances while still maintaining universal ethical standards is challenging but crucial. -
AI Models Lack Personalized Human Context and Cultural Understanding
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People have a lot more context as well, in how they grew up, conversations they had, the culture we live in. The AI model doesn’t get most of this, not in a personalized way.
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Ethical frameworks essential for effective AI regulations
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Great points, @AzurFlorian
. You're absolutely right—ethical frameworks must be clearly defined to build effective regulations.