Strategy, Ethics, and Innovation

Learning Objectives

- Explore ethical and legal concerns surrounding AI in construction.

- Understand cybersecurity and data protection frameworks.

- Design strategic AI adoption roadmaps for construction organizations.

- Evaluate future trends and emerging business models in AI for AEC industries.

Target Audience

Executives, digital strategy leaders, policy advisors, and innovation managers overseeing AI transitions.

Prerequisites

Understanding of organizational management or involvement in digital transformation is recommended.

Course Duration

5 Days (Ethics, Innovation, Strategy)

Daily Course Breakdown

Day 1

Study ethical issues such as transparency, accountability, and bias in AI. Learn how they relate to decision-making and project outcomes.

Day 2

Focus on cybersecurity threats, data governance, and regulatory compliance in the context of digital construction technologies.

Day 3

Learn how to design AI adoption strategies, including stakeholder engagement and organizational alignment.

Day 4

Explore how new AI-powered business models are emerging in the AEC sector. Discuss the role of innovation labs and prototypes.

Day 5

Develop a strategic roadmap for enterprise-level AI deployment, and review success metrics and adoption challenges.