LLM Risks and Concerns

Hallucinations, copyright, privacy, safety, governance, and mitigation strategies

Overview

Large Language Models introduce major benefits but also risks that must be understood and addressed.

Models produce incorrect or fabricated information with confidence.

Training or outputs may involve copyrighted materials.

Models can expose sensitive or personal data.

Potential to generate harmful or misleading content.

Need for policies, monitoring, and accountability.

Techniques reduce risks and ensure responsible use.

Analyze potential model risks.

Track outputs continuously.

Use filters, alignment, and human oversight.

Implement policies and audits.

Incorrect outputs can cause harm.

Hallucinations may mislead students.

They predict patterns, not truth, leading to fabricated answers.

Yes, depending on training sources, creating legal concerns.

Through monitoring, policy, safety layers, and improved training.

Learn more about building safe, governed, and ethical AI systems.