Résultats pour "Trust" dans Sciences informatiques

Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we...

AI-Era Social Network reimagines social media for the Age of AI—built not to manipulate attention, but to foster truth, dignity, and civic trust. The book outlines a bold, ethical blueprint for a platform that combats misinformation with AI-powered truth layers, empowers users with personal AI companions, and redesigns conversations to prioritize empathy over outrage. It proposes a flexible identity model that balances privacy with accountability, and an open, decentralized infrastructure governed by users—not corporations.

The decisions to trust—or not—are pervasive throughout our everyday lives. Whether or not we trust others, for example, depends on many factors, and they all have a history. The battle to trust or mistrust, as experienced at the personal, political and cultural levels, are revealed in this well-documented story. This book illuminates the nature of trust, a deeply abstract and critically important concept.

Info We Trust celebrates data storytelling, as explained by one of the field's most talented creators. Both engineer and artist, R. J. Andrews draws on disciplines from across the human experience to show how to create new ways of seeing the world. And most importantly, to build powerful data-driven information that is worthy of trust.

Today, many decisions that could be made by human beings, from predicting earthquakes to interpreting languages, can now be made by computer algorithms with advanced analytic capabilities. Every day, we make millions of decisions. However, these decisions may be imperfect due to limited experience, implicit biases, or faulty probabilistic reasoning. Algorithms can better predict human behavior than trained psychologists and with much simpler criteria. Discover how algorithms shape and impact our world.

Today, many decisions that could be made by human beings from predicting earthquakes to interpreting languages can now be made by computer algorithms with advanced analytic capabilities....Algorithms can better predict human behavior than trained psychologists and with much simpler criteria. Studies continue to show that the algorithms can do a better job than experts in a range of fields. Artificial intelligence is reshaping healthcare, science, engineering and life. The results will make our lives more productive, better organized, and essentially, much happier.

In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI.

Today, many decisions that could be made by human beings, from predicting earthquakes to interpreting languages, can now be made by computer algorithms with advanced analytic capabilities. Everyday we make millions of decisions, from selecting a life partner, to organizing your closet, to scheduling your life, to having a conversation. However, these decisions may be imperfect due to limited experience, implicit biases, or faulty probabilistic reasoning.

In this audiobook, you will understand how to implement advanced cybersecurity strategies to protect your network from cyber threats. This audiobook covers everything you need to know about Zero Trust architecture, microsegmentation, network security, and NIST standard 800-207.