Remove laws-and-policy regulations
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Data privacy examples

IBM Journey to AI blog

Far-reaching regulations like Europe’s GDPR levy steep fines on organizations that fail to safeguard sensitive information. These are just some examples of how organizations support data privacy , the principle that people should have control of their personal data, including who can see it, who can collect it, and how it can be used.

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Discovering MLOps – The key to efficient machine learning deployment

Data Science Dojo

Security and Compliance: ML models must be secure and comply with regulations, such as data privacy laws. Look no further than MLOps – the future of ML deployment. Let’s take a step back and dive into the basics of this game-changing concept. What is MLOps?

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Discovering ML Ops – The key to efficient machine learning deployment

Data Science Dojo

Security and Compliance: ML models must be secure and comply with regulations, such as data privacy laws. Look no further than ML Ops – the future of ML deployment. Let’s take a step back and dive into the basics of this game-changing concept. What is ML Ops?

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A New Olympics Event: Algorithmic Video Surveillance

Flipboard

It will proceed under a temporary law allowing automated surveillance systems to detect “predetermined events” of the sort that might lead to terrorist attacks. Already, poor implementation of an AI law related to welfare policy has felled one European government. This article is part of our special report Top Tech 2024.

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The Need for AI Governance

IBM Data Science in Practice

In it, he discusses how Moore’s Law, originally used as a model for the semiconductor industry, can apply to technology in general. Regulations for AI are heating up in countries worldwide. There’s the EU AI Act, New York City’s AI Hiring Law, the Canada Bill C27, and almost 2 dozen more tracked worldwide.

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Exploring Japan’s potential to lead global cryptocurrency trends

Dataconomy

Reactions worldwide vary, with some countries welcoming the technology through positive regulations while others proceed cautiously or impose restrictions. Compared to other countries’ cautious approaches, Japan stands out for its clear regulations and widespread use of cryptocurrencies, solidifying its position as a worldwide leader.

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4 Common Misconceptions Surrounding IoT Cybersecurity Compliance

Smart Data Collective

As a result, there are many misconceptions about IoT security and its regulations. Basic compliance policies also cover the essential cybersecurity hygiene that protects businesses from versatile attacks — not only those that can compromise sensitive databases. Laws are different for versatile markets and states. In the U.S.,