In the United States, the regulation of artificial intelligence (AI) has predominantly been undertaken at the state level, leading to a diverse landscape of laws and legislative proposals. These initiatives can be categorized into several key areas: Data Privacy and...
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📌Best Practices in AI Development for Legal Compliance
AI can accelerate innovation—but it also introduces risks when used in developing software, content, and other products. Consider the following best practices for legal compliance: ✔️ Ownership of AI-Generated Content Many jurisdictions do not recognize AI-generated...
📜 Why Employers Need a Company-Wide AI Policy (and What to Include!)
Without clear guidelines, employees might use AI in ways that expose the company to legal liability, ethical concerns, or regulatory scrutiny. That’s why employers—whether in tech, finance, healthcare, or any other industry—need a company-wide AI policy to set clear...
📝 Visa Revoked by AI? Free Speech Meets the Algorithm
The U.S. State Department reportedly plans to use artificial intelligence (AI) to monitor the social media accounts of approximately 100,000 foreign students in the U.S. The purpose of the AI-driven initiative, called "Catch and Revoke," is to identify and potentially...
📈 Understanding SaaS Pricing Models
SaaS vendors have developed a variety of pricing models tailored to different customer needs, usage patterns, and value propositions. Subscription-Based Pricing (Per User/Per Month or Per Year) This is the classic SaaS pricing approach where customers pay a set fee...
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