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Instructor led
Added:
1:00 PM - 4:30 PM
Objectives: Participants will understand the importance of AI governance, including ethical considerations, data privacy, and regulatory frameworks. They will learn methodologies for assessing and mitigating risks associated with AI deployment and explore practical frameworks for implementing AI governance policies. Additionally, they will engage with case studies and discussions on ethical dilemmas in AI applications.
Who should attend: Compliance officers, legal professionals, business leaders, IT managers, and data scientists
Learning Outcomes
Develop a comprehensive AI governance framework tailored to their organization, addressing ethical, legal, and operational aspects
Identify potential ethical issues and biases in AI systems and propose mitigation strategies
Explain the legal and regulatory landscape around AI, including GDPR, CCPA, and other relevant frameworks
Conduct risk assessments for AI projects, focusing on data security, privacy, and fairness
Participate in discussions to critique and enhance AI governance policies through real-world scenarios
CEU: .30 (3.0 Clock Hrs)
This program has been submitted for 3.5 general credits hours toward PHR, SPHR and GPHR recertification through the HR Certification Institute (HRCI) as well as 3.5 recertification credit hours (PDC) toward SHRM-CP and SHRM-SCP through the Society of Human Resource Management (SHRM). The use of these seals is not an endorsement by HRCI or SHRM for the quality of the program. It means that this program has met the HRCI's and SHRM's criteria to be pre-approved for recertification credit.
Objectives: Participants will understand the importance of AI governance, including ethical considerations, data privacy, and regulatory frameworks. They will learn methodologies for assessing and mitigating risks associated with AI deployment and explore practical frameworks for implementing AI governance policies. Additionally, they will engage with case studies and discussions on ethical dilemmas in AI applications.
Who should attend: Compliance officers, legal professionals, business leaders, IT managers, and data scientists
Learning Outcomes
Develop a comprehensive AI governance framework tailored to their organization, addressing ethical, legal, and operational aspects
Identify potential ethical issues and biases in AI systems and propose mitigation strategies
Explain the legal and regulatory landscape around AI, including GDPR, CCPA, and other relevant frameworks
Conduct risk assessments for AI projects, focusing on data security, privacy, and fairness
Participate in discussions to critique and enhance AI governance policies through real-world scenarios
CEU: .30 (3.0 Clock Hrs)
This program has been submitted for 3.5 general credits hours toward PHR, SPHR and GPHR recertification through the HR Certification Institute (HRCI) as well as 3.5 recertification credit hours (PDC) toward SHRM-CP and SHRM-SCP through the Society of Human Resource Management (SHRM). The use of these seals is not an endorsement by HRCI or SHRM for the quality of the program. It means that this program has met the HRCI's and SHRM's criteria to be pre-approved for recertification credit.
Credits awarded per Session. See individual Sessions for further details.
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$179.00
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1:00 PM - 4:30 PM
Objectives: Participants will understand the importance of AI governance, including ethical considerations, data privacy, and regulatory frameworks. They will learn methodologies for assessing and mitigating risks associated with AI deployment and explore practical frameworks for implementing AI governance policies. Additionally, they will engage with case studies and discussions on ethical dilemmas in AI applications.
Who should attend: Compliance officers, legal professionals, business leaders, IT managers, and data scientists
Learning Outcomes
- Develop a comprehensive AI governance framework tailored to their organization, addressing ethical, legal, and operational aspects
- Identify potential ethical issues and biases in AI systems and propose mitigation strategies
- Explain the legal and regulatory landscape around AI, including GDPR, CCPA, and other relevant frameworks
- Conduct risk assessments for AI projects, focusing on data security, privacy, and fairness
- Participate in discussions to critique and enhance AI governance policies through real-world scenarios
CEU: .30 (3.0 Clock Hrs)
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This program has been submitted for 3.5 general credits hours toward PHR, SPHR and GPHR recertification through the HR Certification Institute (HRCI) as well as 3.5 recertification credit hours (PDC) toward SHRM-CP and SHRM-SCP through the Society of Human Resource Management (SHRM). The use of these seals is not an endorsement by HRCI or SHRM for the quality of the program. It means that this program has met the HRCI's and SHRM's criteria to be pre-approved for recertification credit.
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