Complete Guide to AI Governance and Compliance
AI Governance & Compliance is a must-take program for anybody engaged with AI technologies to explore actions pertaining to responsible AI and how issues related to artificial intelligence safety and assurance contribute to AI governance.
Create by Prince Patni
Expert
Prince PatniCategories
Legal
Course Description
As the use of ARTIFICIAL Intelligence technology is proliferating in several sectors, this course renders you equipped enough with knowledge to support responsible deployment of AI technology in compliance with legal and ethical considerations. The AI Governance & Compliance-Certification Course aims to provide professionals with the essential skills and knowledge needed in the complex area.
To ensure the orderly and trusted operation of AI systems, we will discuss checklists, evidences, decision analysis and recommendations related to AI compliance, transparency, risk management, and ethical considerations. By the end of the course, participants will inevitably learn to execute AI governance, minimize risks, and aid in creating an ethical AI ecosystem.
Course Curriculum
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Introduction 6 lectures
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Importance of AI Governance 4 lectures
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AI Governance Best Practices 2 lectures
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AI Governance Framework and Models 3 lectures
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Current and Future Steps for AI Governance Adoption 3 lectures
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End Notes 3 lectures
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What you'll learn
- Fundamentals of AI governance and compliance: The need for the governance of AI today and why it should matter to businesses employing AI.
- Major AI governance initiatives: Framework that alludes to responsible AI could be founded upon is ethical principles and risk mitigation.
- AI safety and assurance: Insights into how to maintain the safety and assurance of AI so that such systems operate in a controlled and safe environment.
- Compliance and legal requirements: Navigate the increasing number of regulations and compliance requirements affecting AI and how to align your organization with them.
- Ethical considerations of AI and trust: Acceptable use of artificial intelligence, general themes of bias, transparency, and responsibility in decision-making.
- Lessons from ChatGPT: Extracting lessons learned from the rollout of AI tools such as ChatGPT and how these lessons will inform future AI governance strategies.
- Risk mitigation in AI: Frameworks and strategies to reduce potential harms emanating from ungoverned AI systems and enhance the safety and legitimacy of the AI space.
Who Should Enrol
- AI Professionals working in any AI-related fields, consisting of data scientists, machine learning engineers, and AI developers, should find deeper knowledge of governance and compliance in AI somehow.
- IT Professionals working in any field like data science, business intelligence, analytics, and development, using AI tools in the AI-driven processes are involved.
- Organizational Leaders, Business leaders and decision-makers of any organization deploying or developing AI products and services would wish to make sure compliance with ethical use of AI.
- Tech Enthusiasts interested in AI and its impact on society looking to gain an understanding of the significance of governance and compliance in the field.
- Legal and Compliance Professionals engaged in regulatory, compliance and risk management roles in tech, finance, healthcare and all other industries utilizing AI technologies.
Requirement
- A general grasp of artificial intelligence should help ease participants into the course material.
- Basic IT skills and concepts are useful, though not essential.
- A desire to know how AI can be held properly accountable and ethical will augment your experience.
About the Expert
Prince PatniSoftware Developer (BI, Data Science)
Studied Engineering, worked in 4 MNCs by far, and traveled across the Globe for work. Currently in the role of Analyst/Developer in a reputed Organization. Loves teaching, loves learning. Here to share Data Analytics, Data Visualization, Business Intelligence, Data Science and other Software Development tips.
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