menu
{ "item_title" : "AI for Humanity", "item_author" : [" Laura Dragoș-Rădoi "], "item_description" : "This thesis examines how Responsible AI (RAI) governance models influence the adoption of AI-powered IoT devices, considering critical factors such as transparency, fairness, accountability, privacy, and security. As AI systems increasingly interact with human users in data-driven environments, concerns over algorithmic governance, explainability, and regulatory compliance shape public trust and business decision-making. This study explores the intersection of RAI governance, industry implementation, and user perception, using qualitative thematic analysis to draw insights from professional, businesses, and end-users. The findings reveal that trust in AI-powered IoT is contingent upon multiple RAI principles, including explainability, data security, fairness, and ethical oversight, rather than transparency alone. Furthermore, the study highlights the trade-offs between AI innovation, regulatory compliance, and ethical deployment, providing recommendations for businesses to foster RAI-driven AI adoption while ensuring alignment with evolving governance frameworks. It offers practical recommendations for ethical design, regulatory compliance, and user-centric transparency, helping organizations enhance AI adoption and trust while maintaining a competitive edge in the evolving IoT market.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/91/716/302/1917163029_b.jpg", "price_data" : { "retail_price" : "29.99", "online_price" : "29.99", "our_price" : "29.99", "club_price" : "29.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
AI for Humanity|Laura Dragoș-Rădoi

AI for Humanity

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This thesis examines how Responsible AI (RAI) governance models influence the adoption of AI-powered IoT devices, considering critical factors such as transparency, fairness, accountability, privacy, and security. As AI systems increasingly interact with human users in data-driven environments, concerns over algorithmic governance, explainability, and regulatory compliance shape public trust and business decision-making. This study explores the intersection of RAI governance, industry implementation, and user perception, using qualitative thematic analysis to draw insights from professional, businesses, and end-users. The findings reveal that trust in AI-powered IoT is contingent upon multiple RAI principles, including explainability, data security, fairness, and ethical oversight, rather than transparency alone. Furthermore, the study highlights the trade-offs between AI innovation, regulatory compliance, and ethical deployment, providing recommendations for businesses to foster RAI-driven AI adoption while ensuring alignment with evolving governance frameworks. It offers practical recommendations for ethical design, regulatory compliance, and user-centric transparency, helping organizations enhance AI adoption and trust while maintaining a competitive edge in the evolving IoT market.

This item is Non-Returnable

Details

  • ISBN-13: 9781917163026
  • ISBN-10: 1917163029
  • Publisher: University of Buckingham Press
  • Publish Date: September 2025
  • Dimensions: 8.5 x 5.5 x 0.38 inches
  • Shipping Weight: 0.46 pounds
  • Page Count: 176

Related Categories

You May Also Like...

    1

BAM Customer Reviews