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What do you need to know on the AI Act and its main legal issues?

The first provisions of the EU AI Act on prohibited practices and AI literacy came into force on February 2, 2025 followed by the some of the sanctions and the provisions on General Purpose AI systems on August 2, 2025. And, as part of this exercise, do you need an easy to use tool to assess compliance of artificial intelligence solutions? We have developed a legal tech tool to assess compliance of artificial intelligence systems PRISCA AI Compliance, reach out to us to know more.

To make life easier for companies, I have listed below some of the articles on the most relevant legal issues around artificial intelligence. Also, you can access DLA Piper’s AI Law Journal, Diritto Intelligente where on a monthly basis my team addresses legal implications of AI:

  1. AI Act on Prohibited Practices Is Now in Force – Are You Ready?
  2. The Rise of AI Agents: Legal Implications of Autonomous Artificial Intelligence
  3. Is Your Organization Ready for AI Governance?
  4. AI Act GPAI Guidelines – What Every Business Must Know
  5. Are you a Provider or a Deployer under the EU AI Act?
  6. AI Act – What Is the Scope of the TDM Copyright Exception?

  7. What is the Fundamental Rights Impact Assessment (FRIA) under the AI Act?
  8. What is the AI risk management system required by the EU AI Act?
  9. AI Act: When is the Survey on your Employees becoming a prohibited artificial intelligence practice?
  10. AI Act Adopted, What Shall Companies Do Now?
  11. AI Regulation in Europe: Italy’s new draft AI Law introduces local peculiarities compared to the EU AI Act

  12. An AI Act vs GDPR Conflict in Fixing Algorithmic Bias?

Also, below are some recommendations on actions to take to comply with the company’s use of artificial intelligence, and you can also read about our methodology to ensure AI law compliance in the article available HERE:

  1. Map AI systems: Identify all AI systems your company currently uses or plans to use.
  2. Create an AI governance framework: Establish internal rules for the use and approval of AI solutions.
  3. Form an internal AI committee: Assign a team to evaluate AI solutions using a compliance-by-design approach.
  4. Select and prioritize AI solutions: Determine which AI solutions to invest in and establish their priority levels.
  5. Test and evaluate AI solutions: Begin evaluating selected AI technologies.
  6. Conduct internal training: Train employees on AI policies through comprehensive materials, including legal design formats and instructional videos.
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