LAIBEL

LAIBEL: AI Impact Analysis Label, designed with our community

An innovative project designed to build trust and support the human transition in the era of AI.

Navigating AI Integration for SMEs

The LAIBEL is designed to assess the ability of SMEs to navigate the complexities of AI integration, focusing on human sustainability in the AI era.
  • Comprehensive Self-Assessment Framework:
    • Enables companies to evaluate their readiness, relevance, and the meaningful impact of AI technologies within their organizations.
    • Provides a structured approach for understanding AI integration.
  • Visualization of Results:
    • Self-assessment results are visualized as a web, highlighting strengths and pinpointing areas needing attention or development.
    • Facilitates a strategic approach to enhancing AI readiness and implementation.
  • Management Insights:
    • Helps managers understand their level of preparedness for AI integration.
    • Identifies both risks and opportunities associated with AI integration.
    • Offers valuable insights into areas needing improvement, providing a clear pathway toward enhancing operations.
  • Trustworthy Certification:
    • The certification process, following labelization, grants certified companies a trustworthy status.
    • Adds credibility and assurance for companies adopting AI.

A Comprehensive Digital Tool

LAIBEL helps companies evaluate their performance across four impact areas: human, technology, society, and business.

Each impact area is managed by experts from various partner institutions, making SCAI and LAIBEL inherently interinstitutional.

Human Impact

1. Workforce Impact:

  • Quantify AI’s impact on job creation versus displacement and initiatives for employee reskilling/upskilling.
  • Is AI truly necessary and how will it benefit the workforce?


2. AI-Human Teaming:

  • Evaluate the integration of AI tools to enhance human work, creativity, and decision-making.
  • How does AI transform processes and how do humans and AI collaborate?
    Are your employees working alongside AI or with AI?

Technology Impact

1. Infrastructure Scalability and Integration:

  • Examine your company’s ability to scale and integrate AI with existing technological infrastructure. Assess the need for hardware upgrades and cloud capacity enhancements.
  • Can systems handle increasing complexity and data demands without compromising performance?

2. Innovation and Development Lifecycle:

  • Evaluate AI integration in R&D and its impact on maintaining high innovation standards.
  • How does AI transform your company’s technological development processes?

Society Impact

1. Ethics and Governance:

  • Evaluate AI transparency, training data inclusivity, and accountability mechanisms.
  • Does your AI have biases? Is your board of directors aware of the risks and opportunities associated with AI?

2. Regulatory Compliance:

  • Evaluate compliance with existing AI regulations and proactive measures for anticipated legal changes.
  • Is your company is ready for potential adoption of the European AI bill in Switzerland?
  1.  

Business Impact

1. Business Model:

  • Assess how AI technologies transform business models, operations, and market positioning.
  • Beyond improving input-output ratios, how might AI fundamentally disrupt your economic model?

2. Future Readiness:

  • Anticipate AI evolution, including emerging technologies and societal trends.
  • The AI is at the heart of a massive technological transition, how is your company anticipating the change and dealing with uncertainty?