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PRODID://NDCP//503167
BEGIN:VEVENT
DTSTAMP:20260506T025535
VTIMEZONE:America/Chicago
DTSTART:20270125T190000Z
DTEND:20270125T210000Z
UID:503167
SUMMARY:Surgent's AI and Data Ethics in Accounting (ETA2)
LOCATION:Webinar
DESCRIPTION:Surgent's AI and Data Ethics in Accounting (ETA2)\n\n01/25/27 01:00 PM CST\n - 01/25/27 03:00 PM CST\Description:\nThis course explores the ethical considerations of AI in accounting. Participants will examine the principles of AI data ethics, regulatory requirements, and strategies for ethical AI use. Objectives:
 Understand the fundamental principles of AI and data ethics and their relevance to accounting
 Analyze the ethical implications of AI adoption in auditing and accounting with a focus on independence, objectivity, and professional skepticism
 Describe the concepts of algorithmic bias and fairness in AI systems and develop strategies to mitigate these issues
 Evaluate the regulatory requirements and guidelines from national and international bodies regarding AI and data ethics
 Develop strategies for ensuring ethical use of AI in accounting practices
 Presenters:Cory NgField of Study:Regulatory Ethics (2)Major Topics:
 Fundamental principles of AI and data ethics
 Importance of ethics in AI adoption
 Relevance of data ethics in accounting practices
 Frameworks for ethical AI implementation
 Ethical implications of AI in auditing and accounting
 Maintaining independence and objectivity
 Ensuring professional skepticism with AI tools
 Addressing ethical dilemmas in AI-driven audits
 Algorithmic bias and fairness in AI systems
 Identifying and understanding algorithmic bias
 Strategies to ensure fairness in AI models
 Case studies on bias and fairness issues in accounting
 Regulatory requirements and guidelines
 Overview of national and international regulations (e.g., GDPR, HIPAA)
 Compliance with ethical standards in AI use
 Emerging guidelines from accounting bodies on AI ethics
 Strategies for ethical AI use in accounting
 Implementing ethical AI frameworks and tools
 Promoting transparency, accountability, and fairness
 Developing a culture of ethics in AI-enhanced accounting practices
 \Location:\nWebinar\n\n,
X-ALT-DESC;FMTTYPE=text/html:Surgent's AI and Data Ethics in Accounting (ETA2)<br /><br />01/25/27 01:00 PM CST - 01/25/27 03:00 PM CST<br />Description:<br />This course explores the ethical considerations of AI in accounting. Participants will examine the principles of AI data ethics, regulatory requirements, and strategies for ethical AI use. <br><br><b>Objectives:</b><br><ul>
    <li>Understand the fundamental principles of AI and data ethics and their relevance to accounting</li>
    <li>Analyze the ethical implications of AI adoption in auditing and accounting with a focus on independence, objectivity, and professional skepticism</li>
    <li>Describe the concepts of algorithmic bias and fairness in AI systems and develop strategies to mitigate these issues</li>
    <li>Evaluate the regulatory requirements and guidelines from national and international bodies regarding AI and data ethics</li>
    <li>Develop strategies for ensuring ethical use of AI in accounting practices</li>
</ul><br><b>Presenters:</b><br>Cory Ng<br><br><b>Field of Study:</b><br>Regulatory Ethics (2)<br><br><b>Major Topics:</b><br><ul>
    <li>Fundamental principles of AI and data ethics </li>
    <li>Importance of ethics in AI adoption </li>
    <li>Relevance of data ethics in accounting practices </li>
    <li>Frameworks for ethical AI implementation </li>
    <li>Ethical implications of AI in auditing and accounting </li>
    <li>Maintaining independence and objectivity </li>
    <li>Ensuring professional skepticism with AI tools </li>
    <li>Addressing ethical dilemmas in AI-driven audits </li>
    <li>Algorithmic bias and fairness in AI systems </li>
    <li>Identifying and understanding algorithmic bias </li>
    <li>Strategies to ensure fairness in AI models </li>
    <li>Case studies on bias and fairness issues in accounting </li>
    <li>Regulatory requirements and guidelines </li>
    <li>Overview of national and international regulations (e.g., GDPR, HIPAA) </li>
    <li>Compliance with ethical standards in AI use </li>
    <li>Emerging guidelines from accounting bodies on AI ethics </li>
    <li>Strategies for ethical AI use in accounting </li>
    <li>Implementing ethical AI frameworks and tools </li>
    <li>Promoting transparency, accountability, and fairness </li>
    <li>Developing a culture of ethics in AI-enhanced accounting practices </li>
</ul><br />Location:<br />Webinar<br /><br />,  
PRIORITY:3
TRANSP:TRANSPARENT
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DESCRIPTION:Reminder
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