OUR L&D APPROACH

5 hrs​

Learning Objectives

• Mastering ‘basic’ ethical concepts involved in ethically-relevant choices

• Applying ethical concepts to your team project as a whole

• Understanding the ethical implications of choices surrounding data sets

• Understanding the ethical implications of having humans-in-command

Learning Objectives

• Define the scope and objectives of the EU AI Act, NIST and ISO

• Understand the risk-classification of AI systems under the EU AI Act, NIST and ISO

• Identify the key provisions and compliance requirements of the EU AI Act

• Recognize the implications of regulations and standards for AI procurement

• Understand the standardization process

Learning Objectives

• Explain the basic components of the life-cycle of machine learning systems

• Explain key ethical concepts (e.g. fairness, justice, benevolence) with an inclusive approach

• Evaluate ethical risks & benefits of using AI in healthcare settings

• Apply examples and models of widespread human decision-making biases to their own decisions in a healthcare setting

• Weigh the benefits and risks of employing AI recommendation systems in their clinical decisions

• Understand the potential for AI tools to affect human biases in clinical decision making, and to impact on fairness and equality.

• Use AI to reach more accurate and more ethical decisions in their medical practice

Learning Objectives

• Provide a Foundational Knowledge of Responsible AI

• Do’s and Don’ts for using AI and GenAI in HR

• AI Ethics Compliance

• Responsible AI policies production and deployment

Learning Objectives

• Understand the notion of ethical choice and the principles of AI Ethics

• Recognize bias and discrimination in AI and Autonomous Systems

• Navigate data Privacy in AI

Learning Objectives

• Identify different types of ethical risks in the AI pipeline

• Learn how to design and deploy ethical best practices in corporate governance