1-Hour Webinar
Build a Foundation for Responsible AI in Your Business
$ 199 CAD
$20 off seminars for groups of 3 or more
Webinar Bundle - add the recording for $50
Continuing education credit is available to the registered participant who meets attendance and participation requirements. CEUs/certificates of completion cannot be issued to non-registered individuals, including those participating as part of a group viewing. Certificates of completion are not available for downloadable recordings.
Credits - CEU 0.1
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Trusted by 3M+ organizations and 13M+ individuals
As the digital landscape continues to evolve, the emergence of generative AI presents unparalleled opportunities for innovation and efficiency yet also demands a profound sense of responsibility. Drawing inspiration from industry best practices, this course empowers you with the expertise to navigate the intricate realm of AI, ensuring both profitability and ethical integrity.
Explore how industry leaders have effectively doubled the profit impact of their AI initiatives by adopting a responsible approach. Acquire the skills to address the unique challenges posed by generative AI, such as bias, data privacy and ethical questions.
By completing this course, you’ll not only grasp how to leverage AI’s potential but also lead with confidence in matters of ethics, stakeholder engagement and regulatory compliance.
- Explore the risks and benefits of AI
- Define the value of ethical AI usage
- Dive into the three components of responsible AI
- Learn how to align your AI goals with your organization
- Manage the company perception of AI
- Redefine roles to meet AI halfway
- Establish
- Fair and equitable AI rules
- Structured guidelines
- Best practices
- Ethical standards
- Find benefits of collaborating with stakeholders
Business leaders and executives looking to understand the strategic importance of ethical AI. Technology managers and IT professionals interested in responsibly implementing AI technologies and AI and machine learning engineers focused on ethical system design.