Remove transparency-policy
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Can Artificial Intelligence Make Insurance More Affordable?

Unite.AI

This shift could revolutionize how insurers calculate premiums to make the process more transparent and tailored to individual risk profiles. Advanced algorithms enable companies to predict outcomes, personalize policies and optimize claims management. It emphasizes the need for precise data handling and consent policies.

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Responsible AI can revolutionize tax agencies to improve citizen services

IBM Journey to AI blog

These agencies have a myriad of complex challenges unique to each country, but most of them share the goal of increasing efficiency and providing the transparency that taxpayers demand. Mitigating data bias, unethical use of data, lack of transparency or privacy breaches is essential. What’s next?

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What is Google’s New Policy for the Upcoming 2024 Elections?

Analytics Vidhya

Acknowledging past challenges faced by big tech companies in combating false narratives during elections, Google aims to enhance transparency and curb misinformation, particularly focusing on the upcoming U.S. Google’s Safeguarding […] The post What is Google’s New Policy for the Upcoming 2024 Elections?

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Data protection strategy: Key components and best practices

IBM Journey to AI blog

Some include adding security measures, updating data protection policies, conducting employee training or investing in new technologies. Data protection policies and procedures Data protection policies help organizations outline their approach to data security and data privacy.

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With Generative AI Advances, The Time to Tackle Responsible AI Is Now

Unite.AI

Promote AI transparency and explainability: AI transparency means it is easy to understand how AI models work and make decisions. However, companies should set AI principles and policies from the start. Implement a framework and processes: Partners provide responsible AI frameworks with transparent processes and guardrails.

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Exploring the Frontiers of Artificial Intelligence: A Comprehensive Analysis of Reinforcement Learning, Generative Adversarial Networks, and Ethical Implications in Modern AI Systems

Marktechpost

The agent takes actions based on a policy, a strategy for selecting actions. Over time, the agent aims to develop an optimal policy that maximizes the total reward. These challenges revolve around bias, transparency, and the potential misuse of AI technologies. However, the ethical implications of these must be considered.

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Preparing for the EU AI Act: Getting governance right

IBM Journey to AI blog

.” European Parliament News The EU AI Act in brief The primary focus of the EU AI Act is to strengthen regulatory compliance in the areas of risk management, data protection, quality management systems, transparency, human oversight, accuracy, robustness and cyber security.