Chapter 2: I am an AI model

I am an AI model: Online References and Recommended Readings

Core AI Technologies and Applications

This section provides resources that explain the underlying technologies and practical applications of various AI features, from personalized recommendations and conversational AI to image recognition and fraud detection.

AI in Business and Entrepreneurship

This section covers the practical applications of AI for entrepreneurs, focusing on workflow automation, productivity, content creation, customer relationship management, data-driven decision-making, and adoption rates in SMEs.

AI Workforce and Skills Development

This section provides resources related to the AI skills gap, workforce readiness, and the perception of AI among employees and employers in small and medium-sized enterprises.

AI Legal Compliance (EU AI Act)

This section contains resources specifically detailing the European Union's AI Act, including its risk-based approach, categories of AI systems, key mandated principles, and challenges for European SMEs.

AI Adoption Frameworks and Readiness

This section provides resources on theoretical frameworks, such as the Technology–Organization–Environment (TOE) Model, and practical considerations for assessing an organization's readiness to adopt AI technologies effectively.

AI Solution Evaluation and Procurement

This section compiles resources on best practices and critical considerations for choosing and evaluating AI features, covering aspects like accuracy, data quality, legal compliance, transparency, security, and vendor assessment.

Large Language Models (LLMs) for Business

This section provides resources for understanding, selecting, and integrating Large Language Models (LLMs) for various business applications, including considerations for cost, privacy, customization, and scalability.

AI Procurement, Contracts, and Internal Policies

This section provides resources on various types of contracts for AI software and services, considerations for LLM usage costs, intellectual property rights, and guidelines for establishing internal policies for responsible AI and LLM use within organizations.

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Chapter Includes

  • 2 Units
  • 10 Topics
  • 6 Quizzes
  • Chapter Certificate