AI & Automation

Prompt engineering, AI agents, GenAI & hyper-automation

225 articlesPage 19 of 19
AI's Role in Sustainable Tech and Ethics
Explore the complexities of integrating AI with sustainable technology, addressing ethical challenges and environmental impacts As we progress through 2025.
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AI's Role in Sustainable Tech: Ethics & Impact
Artificial Intelligence (AI) plays a crucial role in sustainable tech, offering opportunities for environmental monitoring while posing ethical challenges like algorithmic bias and privacy concerns.
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AI Innovations Transform Ecommerce in 2025
In 2025, AI is transforming ecommerce by offering groundbreaking solutions that reshape interactions with online markets, focusing on generative AI for personalized shopping.
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AI Ethics Shaping Tech Development
AI is reshaping technology, raising ethical concerns in transparency, fairness, and accountability. Collaboration is key to addressing biases and societal impacts.
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Ethical Challenges in Autonomous AI Systems
The rapid advancement of agentic AI systems presents ethical challenges that must be addressed to ensure responsible development. Transparency, accountability, and privacy are key considerations in maintaining ethical oversight and fostering trust.
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Microsoft's Quantum Leap: Majorana 1 Chip Advances AI
In February 2025, Microsoft unveiled the Majorana 1 quantum chip, marking a groundbreaking advancement in AI computing technology and integrating quantum computing with artificial intelligence.
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Ethical and Societal Impacts of Agentic AI
Agentic AI revolutionizes autonomy in AI, prompting a deep dive into its ethical and societal impacts, balancing innovation with responsibility.
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Generative AI: Ethical Challenges 2025
In 2025, generative AI poses ethical challenges like bias, misinformation, and privacy concerns, impacting industries and societal norms. This article explores solutions for responsible AI advancement.
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Legal Challenges of Agentic AI
Agentic AI, capable of autonomous decision-making, presents unprecedented legal challenges. This article explores the multifaceted issues of compliance, transparency, and liability in AI governance.
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