IFS Food
GFSI standard for food safety, quality and process compliance
ISO/IEC 42001:2023
International standard for AI management systems
Quick Verdict
IFS Food ensures food safety and quality via product audits for manufacturers, while ISO/IEC 42001:2023 governs AI risks through lifecycle management for any organization. Food firms adopt IFS for retailer access; AI users seek 42001 for ethical compliance and trust.
IFS Food
IFS Food Version 8
ISO/IEC 42001:2023
ISO/IEC 42001:2023 Artificial intelligence — Management system
Key Features
- PDCA framework for AI management systems
- Mandatory AI Impact Assessments for high-risk AI
- Annex A with 38 AI-specific controls
- HLS integration with ISO 27001/9001
- Full AI lifecycle risk management
Detailed Analysis
A comprehensive look at the specific requirements, scope, and impact of each standard.
IFS Food Details
What It Is
IFS Food Version 8 is a GFSI-benchmarked certification framework for food manufacturers, auditing product and process compliance for safety, quality, legality, and authenticity. It employs a risk-based Product and Process Approach (PPA) with on-site verification.
Key Components
- Organized into governance, HACCP, resources, operations, and performance (Sections 1-5)
- 10 Knock-Out (KO) requirements like traceability and CCP monitoring
- HACCP-based with PRPs, validation, verification
- Site-specific annual certification with Higher/Foundation levels via scoring
Why Organizations Use It
- Essential for European retailer access and private-label supply
- Reduces audit duplication, builds supply chain trust
- Mitigates risks in fraud, defense, allergens, foreign materials
- Enhances food safety culture, operational resilience
Implementation Overview
- Phased gap analysis, FSMS build, training, validation, internal audits
- Targets food processors globally, site-specific
- Requires ISO 17065-accredited bodies, announced/unannounced audits
ISO/IEC 42001:2023 Details
What It Is
ISO/IEC 42001:2023 is the world's first international standard for Artificial Intelligence Management Systems (AIMS), specifying requirements to establish, implement, maintain, and improve responsible AI governance. Applicable to any organization developing, providing, or using AI, it uses a risk-based Plan-Do-Check-Act (PDCA) methodology aligned with the High-Level Structure (HLS) for management systems.
Key Components
- Clauses 4-10: context, leadership, planning, support, operation, performance evaluation, improvement
- **Annex A38 AI-specific controls addressing bias, transparency, integrity
- Mandatory AI Impact Assessments (AIIAs) for high-risk systems
- Third-party audits for certification
Why Organizations Use It
- Mitigates AI risks like bias, model drift, ethics violations
- Aligns with EU AI Act, NIST frameworks for compliance
- Builds stakeholder trust, enhances reputation
- Enables innovation, competitive differentiation via integrated governance
Implementation Overview
- Phased: gap analysis, policy development, risk assessments, training
- 6-12 months typical; faster with ISO 27001 integration
- Universal across sizes/sectors; voluntary certification recommended
Key Differences
| Aspect | IFS Food | ISO/IEC 42001:2023 |
|---|---|---|
| Scope | Food manufacturing processes, safety, quality | AI management systems, lifecycle governance |
| Industry | Food processing, global retailers | All sectors using AI, universal applicability |
| Nature | GFSI-benchmarked certification standard | Voluntary international management system |
| Testing | Annual product/process audits, traceability tests | PDCA audits, AI impact assessments, reviews |
| Penalties | Certification withdrawal, no legal fines | No penalties, loss of certification only |
Scope
Industry
Nature
Testing
Penalties
Frequently Asked Questions
Common questions about IFS Food and ISO/IEC 42001:2023
IFS Food FAQ
ISO/IEC 42001:2023 FAQ
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