In this session...
Artificial Intelligence (AI) is rapidly transforming the advertising landscape, offering powerful new tools for targeting, personalisation, and content creation. However, alongside these opportunities come significant risks that brands and advertisers must understand and address.
This panel brings together leading experts in data privacy, cybersecurity, risk management, and compliance to explore the critical AI-related risks facing the advertising industry today.
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We'll move beyond the hype and delve into the practical challenges and legal implications of using AI in advertising snd address some of the ethical and legal concerns of using AI in advertising and marketing.
While AI promises efficiency, innovation, and progress, it also brings with it a host of challenges that we can’t afford to ignore.
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What You'll Learn from This Session...
- AI in advertising is a double-edged sword: While offering powerful capabilities for targeting and personalisation, it also introduces significant risks related to privacy, bias, security, and compliance.
- Data privacy regulations are paramount: Brands must prioritize compliance with GDPR, CCPA, and other relevant data protection laws when using AI for advertising. This includes obtaining valid consent, providing transparency, and implementing robust data g
- Algorithmic bias is a real threat: Advertisers need to be aware of the potential for AI systems to perpetuate or amplify existing biases, and take steps to mitigate this risk through careful data selection, algorithm design, and ongoing monitoring.
- Transparency and explainability are essential: Brands should strive to be transparent with consumers about how AI is being used in their advertising, and they should be able to explain the decisions made by AI systems.
- Proactive risk management is key: Organisations need to develop comprehensive AI governance frameworks, conduct thorough risk assessments, and implement robust security measures to address the unique challenges of AI in advertising. This includes not over
