All courses
Hamburger Icon

AI Ethics and Responsibility: Leading with Integrity in the Age of AI

Course Summary

In this impactful 2-hour webinar, designed specifically for leaders, you will explore the critical ethical considerations essential for guiding AI development with integrity. This session delves into the core principles of AI ethics, including transparency, accountability, and fairness, while also emphasizing the significance of privacy, consent, and the challenges of bias within AI systems.

Gain practical strategies to mitigate bias, ensure inclusivity, and build AI systems that are not only innovative but also trustworthy and accountable. With insights into best practices and emerging regulations, this webinar equips you with the knowledge and leadership skills necessary to foster a culture of ethical AI implementation in your organization. Don't miss this opportunity to lead with integrity in the rapidly evolving landscape of AI.

Purpose
Explore the ethical implications of AI
Audience
Leaders looking to learn more about AI ethics and responsibility 
Role
Leaders
Skill level
Beginner
Style
Webinar
Duration
2 hours
Related technologies
AI | Ethics | Bias| Leadership Strategies

 

Course objectives
  • Understand core ethical principles in AI development, including transparency, accountability, and fairness, to ensure responsible use of AI.
  • Develop strategies to identify and mitigate bias in AI systems to promote fairness and inclusivity in AI deployment.
  • Build leadership strategies to foster a culture of ethical AI implementation, emphasizing accountability and trust within your organization.

What you'll learn:

In this course, you'll learn:
  • Understanding AI Ethics and Integrity:
    • Discuss the ethical principles guiding AI development and use, including transparency, accountability, and fairness.
    • Explore the importance of ethical considerations in AI, such as privacy, consent, and the impact on society.
    • Highlight real-world examples of ethical dilemmas in AI and how they were addressed.
  • Addressing Bias and Ensuring Fairness:
    • Explain the concept of bias in AI systems and its potential consequences.
    • Share strategies for identifying and mitigating bias in AI algorithms and data.
    • Discuss the importance of fairness and inclusivity in AI development and deployment.
  • Building Trustworthy and Accountable AI Systems:
    • Define what makes an AI system trustworthy and accountable.
    • Share best practices for designing and implementing AI systems that prioritize integrity and user trust.
    • Discuss the role of regulatory frameworks, standards, and audits in ensuring AI accountability.
  • Leadership Strategies for Ethical AI Implementation:
    • Provide strategies for leaders to foster a culture of integrity and ethical decision-making within their organizations.
    • Discuss the importance of accountability and transparency in AI projects.
    • Offer practical tips for integrating ethical considerations, bias mitigation, and accountability into AI development processess

AI Ethics and Responsibility: Leading with Integrity in the Age of AI

real world content

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
expert practitioners

Expert Practitioners

Industry experts that bring their battle scars into the classroom.
experiential learning

Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
fully customized

Tailored Outlines

Once-size-fits-all doesn't apply to training teams. That's where we come in!

Dive in and learn more

When transforming your workforce, it’s important to have expert advice and tailored solutions. We can help. Tell us your unique needs and we'll explore ways to address them.

Let's chat

By filling out this form and clicking submit, you acknowledge our privacy policy.