Safe AI Workshop: Practical Guide to Using Generative AI Without Risk

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How to Work Safely with ChatGPT, Copilot, Claude, DALL·E and Other AI Tools — Without Risks to You, Your Company, or Your Clients

Generative Artificial Intelligence opens up new possibilities in development, business, marketing, recruitment, and HR.  This Safe Artificial Intelligence Workshop is designed to help professionals use generative artificial intelligence tools effectively while managing legal, ethical, and cybersecurity risks.

  • Can you input confidential data into ChatGPT or Claude?
  • Who owns the AI-generated content — you or the system?
  • How can you avoid artificial intelligence hallucinations and not build a strategy on false data?

If you’re already using or planning to use AI-based systems in your work or business processes, this AI Safety Workshop will help you understand how to interact with large models securely, protect your data, your brand, and your reputation.

Who this event is for:

This Next-Gen Artificial Intelligence Safety Workshop is designed for:

  • IT professionals and developers integrating AI systems into products
  • Project managers, CTOs, CIOs, and data security officers
  • HR specialists, legal advisors, and compliance managers shaping internal artificial intelligence policies
  • Business owners looking to safely incorporate AI-based solutions into their strategy
  • Everyone using ChatGPT, GitHub Copilot, Claude, Midjourney, DALL·E, and similar machine learning tools

Program Highlights

This Artificial Intelligence Safety Workshop is created at the intersection of safety, technology, and management — precisely where issues of ethics, reliability, and trust in artificial intelligence in business are resolved.

Module 1
What types of data are prohibited from being entered into public artificial intelligence tools
  • What is confidential information and how to recognize it
  • Consequences of unintentional data leaks through API integrations
Module 2
How companies like OpenAI, Google, and Anthropic use your prompts
  • What is training on user data
  • Opting out of using prompts for model training: myths and reality
Module 3
How to recognize hallucinations of artificial intelligence
  • Examples of incorrect responses in ChatGPT
  • Protocols for verifying the accuracy of artificial intelligence output
Module 4
Legal and ethical risks of generative artificial intelligence
  • Who is the author of content created by artificial intelligence?
  • How to establish responsibility policies within a team
Module 5
Open-source AI models on internal infrastructure
  • Advantages, risks, issues of testing, updating, and licensing

After This AI Workshop, You Will:

  • Gain clear rules for safe usage of generative artificial intelligence in business contexts
  • Know what kind of prompts are appropriate — and which ones are risky
  • Learn how to minimize errors caused by artificial intelligence (bias, hallucinations)
  • Be equipped with ethical and legal knowledge for working with AI-generated content
  • Confidently choose between cloud-hosted and local open-source AI models
  • Be prepared to join or form a responsible working group for artificial intelligence integration

Register Now
Don’t let technology create problems where there should be efficiency.
Protect yourself, your team, and your business from the risks of generative artificial intelligence.

FAQ

What will I learn in this AI safety workshop for working with ChatGPT, Copilot, and Claude?

You’ll master the fundamentals of large model safety, including:

  • Safe practices for using AI systems like ChatGPT, Copilot, Claude, and more
  • How AI-based systems work, how they learn from your prompts, and how to avoid inadvertently sharing sensitive data
  • Techniques for spotting and correcting artificial intelligence hallucinations and bias
  • Legal issues surrounding ownership of AI-generated content

These elements align with global themes in large model safety research and training .

What are the legal risks covered in a gen AI safety workshop?
Key legal risks include:

  • Intellectual property disputes: Who owns AI-generated content? You or the platform?
  • Privacy breaches by uploading confidential or regulated data
  • Compliance violations (e.g., GDPR, HIPAA) when sensitive data is handled improperly
  • Liability for AI-generated misinformation or bias that harms individuals or brands

These legal angles are consistent with frameworks discussed in next‑gen AI safety workshops

How does a next gen AI safety workshop address hallucinations and biased outputs?

Comprehensive approaches include:

  • Educating participants to recognize and test for artificial intelligence hallucinations in prompts and analysis
  • Hands-on training in safe AI workshop settings using verification and cross-check methods
  • Tools like rule-based reward mechanisms and red-teaming, aligning with advanced techniques
  • Introducing frameworks like “Scientist AI” and guardrails from panel discussions at the large model safety workshop

Who should attend this safe AI workshop — developers, lawyers, or business owners?

This workshop is designed as a working group for:

  • Developers and IT experts integrating AI-based agents and machine learning models
  • CTOs/CIOs/data/security officers responsible for large model safety
  • Legal, compliance, HR, and privacy professionals who define internal AI policies
  • Business leaders and product owners planning safe implementation of artificial intelligence

Effectively, it suits anyone involved in deploying or supervising AI systems at scale.

What makes this AI safety workshop different from other generative AI trainings?

Our format offers a truly next‑gen AI safety workshop experience:

  • Focuses specifically on large model safety, not just general AI literacy
  • Emphasizes hands-on, real-world threat scenarios such as hallucinations, bias, security exploits, and ownership issues
  • Includes multidisciplinary best practices shared at major industry events (ICML, Large Model Safety Workshop) 
  • Builds a working group mindset, enabling teams to co-develop responsible AI strategies that integrate engineering, legal, ethics, and business needs

Why do companies need a safe generative AI workshop before deploying AI tools at scale?

Deploying AI-based tools at scale demands understanding:

  • Systemic risks from hallucinations, bias, and adversarial manipulations
  • Ethical ramifications of automated decision-making
  • Legal consequences regarding data collection, ownership, and privacy
  • Strategies to incorporate safeguards into systems and organizational workflows

A safe generative AI workshop helps build a robust working group across IT, legal, HR, and leadership to prepare before full deployment.

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