Hivex的动态

Curious about the differences between Generic AI and Explainable AI? Dive into our latest blog post to explore how these technologies impact security and operational efficiency. Discover why transparency in AI is crucial for building trust and compliance. Read more: https://lnkd.in/d7b7XjWC #ArtificialIntelligence #ExplainableAI #SecuritySolutions #TechInnovation #LOUHEai

Do you trust decisions made by AI? Here is our latest thoughts about Explainable AI

Not everyone wants their images or art used for training generative AI models, so these 3 tools can help safeguard your images from use in AI scraping. https://hubs.li/Q02m2Kqp0 #DataScience #AI #ArtificialIntelligence

Not everyone wants their images or art used for training generative AI models, so these 3 tools can help safeguard your images from use in AI scraping. #DataScience #AI #ArtificialIntelligence https://hubs.li/Q02mLyRb0

?? Curious about the ROI of AI? ?? CIOs are facing challenges in finding it. "SMB customers still don’t see the value of generative AI in tasks like writing a newsletter, when the AI doesn’t have access to their internal data." Check out this insightful article to learn more: https://lnkd.in/ethQTdy9 #AI #CIO #ROI #TechInsights ???

Not everyone wants their images or art used for training generative AI models, so these 3 tools can help safeguard your images from use in AI scraping. https://hubs.li/Q02lDyRB0 #DataScience #AI #ArtificialIntelligence

?? Curious about the ROI of AI? ?? CIOs are facing challenges in finding it. "SMB customers still don’t see the value of generative AI in tasks like writing a newsletter, when the AI doesn’t have access to their internal data." Check out this insightful article to learn more: https://lnkd.in/eTX7zZGv #AI #CIO #ROI #TechInsights ???

AI-generated content is everywhere, but researchers have pulled together many tips and telltale errors that can help you spot a fake...for now. Great explainer from Jeremy Hsu on the state of play of generative AI technology, the hardest types of misinformation to detect, and how you can stop yourself from being fooled. #artificialintelligence #AI #misinformation #disinformation https://lnkd.in/e3By7qqk New Scientist

A second post on #AI governance: detecting and preventing bias. You may need more help than you think.https://buff.ly/3U23ALZ #AIgovernance #AIBias

Top 3 disadvantages of AI Frequently cited drawbacks of AI include the following: 1. A lack of creativity Although AI has been tasked with creating everything from computer code to visual art, it lacks original thought. "It can only know what it knows. It can't think outside the box, no pun intended," Kelly said. "It's limited by what it can ingest." AI essentially makes predictions based on algorithms and the training data it has been fed; and although machine learning algorithms help the machine learn over time, it doesn't have the capacity humans have for creativity, inspiration and new ways of thinking. "It's not going to replace critical thinking; it's just going to be another arrow in our quiver," said Chaim Mazal, chief security officer at Gigamon, a maker of cybersecurity technology. A Feb. 2023 report from the World Economic Forum states that even though AI can support and enable human creativity, the "leading opinion is that AI cannot generate fundamentally new ideas on its own." Whether AI could develop those capabilities is a subject of discussion and debate, even as Microsoft researchers in an April 2023 paper assert that AI has evolved to reason like humans. 2. The absence of empathy AI can be taught to recognize human emotions such as frustration, but a machine cannot empathize and has no ability to feel. Humans can, giving them a huge advantage over unfeeling AI systems in many areas, including the workplace. Consider the fact that the service sector dominates the U.S. economy, with the Brookings Institute calculating that in 2023 "four out of five American workers in the private sector are employed in the service economy, doing everything from delivering care in hospitals and nursing homes to making and serving food to ensuring products make it from ports to store shelves and into consumers' hands." Although some positions -- and aspects of others -- can be automated using AI, Krishna said many of those roles "require empathy and touchpoints." 3. Skill loss in humans Although experts typically list AI's ability to free people from repetitive and mundane tasks as a positive, some believe this particular benefit comes with a downside: a loss of skills in people. People often advance their knowledge, as well as their personal and professional crafts, by first learning and mastering easy repetitive tasks, allowing them to understand how those tasks fit into the bigger chunks of work they must accomplish to complete an objective. But as AI takes over those entry-level jobs, some have voiced concerns that people could lose their ability to know and understand how to perform those tasks. That could stymie their ability to truly master a profession or trade; it could also leave them without the necessary capabilities to step in and perform the work should the AI fail.