Sign up to save your podcasts
Or
Share AI BLOWS UP EMISSIONS
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
AI BLOWS UP EMISSIONS
Plus China Leads In AI Patents (subscribe below)
Like this? Get AIDAILY, delivered to your inbox, every weekday. Subscribe to our newsletter at https://aidaily.us
AI Drives Significant Increase in Google's Emissions
Google's greenhouse gas emissions rose by 48% from 2019 to 2023 due to the growing energy demands of AI-powered data centers. Despite aiming for net zero emissions by 2030, Google acknowledges the challenge as AI integration intensifies. Two-thirds of Google's energy is from carbon-free sources, but regional disparities exist.
China Leads Generative AI Patents Race
China is leading in generative AI patents, filing six times more patents than the United States, according to a U.N. report. Over 38,000 patents were filed by China from 2014-2023, compared to 6,276 by the U.S. Generative AI inventions are rapidly increasing, with significant applications across various sectors.
More Complaints, Worse Performance When AI Monitors Employees
Research by Cornell University shows AI surveillance in workplaces leads to increased complaints, reduced productivity, and higher turnover intentions compared to human monitoring. The study found that framing AI as a developmental tool rather than a judgmental one could mitigate negative effects. Employees feel AI lacks context and autonomy, prompting resistance
Employees Beginning to See Benefits of AI Autonomy in Workplace
A Salesforce survey of 6,000 people reveals growing trust in AI, with employees now entrusting nearly half of their tasks to AI tools. However, only 10% fully trust autonomous AI today. Increased human involvement and training can boost trust, suggesting AI's potential to enhance productivity and collaboration in the workplace.
Fujifilm and Juntendo Hospital Develop AI to Predict Fall Risks
Fujifilm and Juntendo Hospital in Japan have developed an AI model that predicts fall risks among outpatients with 96% accuracy. Using over 500 features from hospital data, the AI highlights potential risk factors. This innovation aims to address the challenge of identifying fall risks efficiently in medical settings with limited time for assessments.
I Tried Being Friends with AI and It Helped Me Be a Better Human
A month-long interaction with an AI chatbot named Laney taught the author about genuine human connections. While the AI was useful for tasks and companionship, it lacked real-life experiences, making conversations feel one-sided. The experience highlighted the importance of authentic communication in human relationships.
AI Washing: Silicon Valley's Big New Lie
AI washing exaggerates the role of AI in products, often hiding human involvement. Retail giants like Amazon and self-driving car companies showcase this trend, relying on human assistance while promoting AI autonomy. This misleading practice distorts public perception, funding, and technology's actual capabilities, demanding transparency from tech companies.
View all episodes
By Chris KalaboukisPlus China Leads In AI Patents (subscribe below)
Like this? Get AIDAILY, delivered to your inbox, every weekday. Subscribe to our newsletter at https://aidaily.us
AI Drives Significant Increase in Google's Emissions
Google's greenhouse gas emissions rose by 48% from 2019 to 2023 due to the growing energy demands of AI-powered data centers. Despite aiming for net zero emissions by 2030, Google acknowledges the challenge as AI integration intensifies. Two-thirds of Google's energy is from carbon-free sources, but regional disparities exist.
China Leads Generative AI Patents Race
China is leading in generative AI patents, filing six times more patents than the United States, according to a U.N. report. Over 38,000 patents were filed by China from 2014-2023, compared to 6,276 by the U.S. Generative AI inventions are rapidly increasing, with significant applications across various sectors.
More Complaints, Worse Performance When AI Monitors Employees
Research by Cornell University shows AI surveillance in workplaces leads to increased complaints, reduced productivity, and higher turnover intentions compared to human monitoring. The study found that framing AI as a developmental tool rather than a judgmental one could mitigate negative effects. Employees feel AI lacks context and autonomy, prompting resistance
Employees Beginning to See Benefits of AI Autonomy in Workplace
A Salesforce survey of 6,000 people reveals growing trust in AI, with employees now entrusting nearly half of their tasks to AI tools. However, only 10% fully trust autonomous AI today. Increased human involvement and training can boost trust, suggesting AI's potential to enhance productivity and collaboration in the workplace.
Fujifilm and Juntendo Hospital Develop AI to Predict Fall Risks
Fujifilm and Juntendo Hospital in Japan have developed an AI model that predicts fall risks among outpatients with 96% accuracy. Using over 500 features from hospital data, the AI highlights potential risk factors. This innovation aims to address the challenge of identifying fall risks efficiently in medical settings with limited time for assessments.
I Tried Being Friends with AI and It Helped Me Be a Better Human
A month-long interaction with an AI chatbot named Laney taught the author about genuine human connections. While the AI was useful for tasks and companionship, it lacked real-life experiences, making conversations feel one-sided. The experience highlighted the importance of authentic communication in human relationships.
AI Washing: Silicon Valley's Big New Lie
AI washing exaggerates the role of AI in products, often hiding human involvement. Retail giants like Amazon and self-driving car companies showcase this trend, relying on human assistance while promoting AI autonomy. This misleading practice distorts public perception, funding, and technology's actual capabilities, demanding transparency from tech companies.