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[Legal briefing] Beyond POPIA: AI, data ethics and the law

CPD Hours: 2

Price: R450.00


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Title / Topic

[Legal briefing] Beyond POPIA: AI, data ethics and the law

Presenters : Nicolene Schoeman-Louw


Overview

Artificial intelligence and emerging technologies are transforming the way organisations collect, process and use data, creating new opportunities while introducing complex legal, ethical and governance challenges.

Clients are deploying systems that profile, generate, infer and decide. POPIA was not drafted with these systems in mind and the legal practitioner's professional duty does not end where the statute does.

Join Nicolene Schoeman-Louw as she explores the legal and ethical implications of AI and emerging technologies, providing practical guidance on responsible data governance, regulatory compliance and professional obligations when advising clients in an increasingly AI-driven environment.


Learning objectives

Attending this webinar will equip you with the following skills:

  • The data ethics principles underpinning the Protection of Personal Information Act 4 of 2013 ("POPIA"), read against the GDPR and the OECD AI Principles.
  • The risks of AI, machine learning, biometric processing, the Internet of Things and algorithmic decision-making (bias, transparency and accountability among them).
  • Governance in practice: lawful processing, consent, purpose limitation and data minimisation in an AI context.
  • The practitioner's own obligations when using AI tools (confidentiality, competence and due care).
  • The regulatory horizon: prospective South African AI regulation and cross-border data transfers.

Content

The webinar will cover the following topics:

  • Data Ethics and Regulatory Frameworks
    • Core principles of data ethics
    • Protection of Personal Information Act (POPIA)
    • General Data Protection Regulation (GDPR)
    • OECD AI Principles and international best practice
  • Legal and Ethical Challenges of Emerging Technologies
    • Artificial Intelligence (AI) and Machine Learning (ML)
    • Biometric data processing
    • Internet of Things (IoT)
    • Algorithmic decision-making and automated profiling
    • Ethical risks including bias, transparency and accountability
  • Responsible Data Governance in Practice
    • Lawful processing and consent management
    • Purpose limitation and data minimisation
    • Privacy by design and governance frameworks
    • AI risk management and accountability
    • Cross-border data transfers and international compliance
  • Professional Responsibilities and Ethical Practice
    • Confidentiality when using AI tools
    • Professional competence and due care
    • Ethical use of generative AI in professional services
    • Client advisory responsibilities and governance
  • Future Regulatory Developments
    • Emerging AI regulation in South Africa
    • International AI governance trends
    • Preparing organisations for future compliance obligations

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