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BCS FOUNDATION CERTIFICATE IN THE ETHICAL BUILD OF AI Course Overview

BCS FOUNDATION CERTIFICATE IN THE ETHICAL BUILD OF AI Course Overview

Embark on a transformative journey with the BCS Foundation Certificate in the Ethical Build of AI. This course is designed to cultivate a deep understanding of ethical AI practices, ensuring that the well-being of society and individuals is prioritized in AI development. Participants will learn about ethical frameworks, regulatory standards, and the essential role of governance in AI applications. You'll explore real-world issues concerning data privacy, AI-driven innovation, and the environmental impact of technology. Whether you're an industry professional or a newcomer, this course offers vital insights into the responsible creation and management of AI systems, equipping you with the knowledge to make ethically informed decisions in the ever-evolving landscape of artificial intelligence.

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Target Audience for BCS FOUNDATION CERTIFICATE IN THE ETHICAL BUILD OF AI

The BCS Foundation Certificate in the Ethical Build of AI is designed for individuals seeking to understand and implement ethical considerations in AI system development. Ideal for beginners or professionals in IT and related fields.


Job roles and audience for the course include:


  • IT Professionals
  • Software Developers
  • AI and Machine Learning Engineers
  • Data Scientists
  • Project Managers
  • IT Consultants
  • Technology Strategists and Planners
  • Compliance and Ethics Officers
  • Innovation Managers
  • Research and Development Professionals
  • Academic Students and Researchers in Information Technology and Artificial Intelligence


Learning Objectives - What you will Learn in this BCS FOUNDATION CERTIFICATE IN THE ETHICAL BUILD OF AI?

Learning Outcomes Introduction

The BCS Foundation Certificate in the Ethical Build of AI aims to equip learners with the understanding and skills necessary to address ethical considerations in AI system design, ensuring the rights and well-being of individuals and society are prioritized.

Learning Objectives and Outcomes:

  • Understanding Ethical and Regulatory Standards: Recognize the importance of ethical behavior and regulatory frameworks in AI development.
  • AI Systems and Business Impact: Analyze different AI systems and their effects on business operations and societal norms.
  • Data Collection and Usage: Learn lawful and ethical ways of collecting and using data within AI systems.
  • Environmental and Infrastructure Considerations: Evaluate the environmental impact and infrastructure requirements of AI systems.
  • Development and Testing of AI: Understand ethical considerations in the development, testing, and deployment phases of AI.
  • Governance and Security: Gain knowledge on governance structures and security measures crucial for AI data handling.
  • Ethical Decision Making: Apply frameworks like DIODE to ensure ethical decision-making in AI applications.
  • AI in Business Change: Discuss how AI can drive transformation in organizations and society ethically.
  • Data Privacy and Policy: Describe regulations and best practices in data privacy and governance in the context of AI.
  • **Continuous

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