ISE 2025 has concluded, leaving a lasting impression with the diverse and high-quality AI solutions on display. On show were AI-powered noise and echo-cancelling sound systems, interactive displays with AI content management, and personalized digital signage, generative AI for meeting summaries, real-time transcription and translation, and auto camera tracking and framing.

AI brings immense value to ProAV, but we must effectively manage associated risks, especially as threat actors use AI for advanced attacks like AI-generated phishing, deepfake impersonation, automated social engineering, AI-powered malware, and identity theft. ProAV has a crucial responsibility to ensure security-by-design, cybersecurity data protection, and performance management to safeguard AV and customer businesses.

What are we dealing with and what must be done?
✳️ Data Privacy Risks: AI-driven AV systems collect large amounts of data, raising privacy and compliance concerns.
🛡️ Secure and ethical handling of this data is essential to ensure compliance with regulations on data protection and user privacy, building trust and reliability in AI-powered AV solutions.

✳️ Cybersecurity Threats: AI systems in AV can face attacks like adversarial, data poisoning, and evasion, compromising their integrity and security.
🛡️ Implement strict access control measures, regular security audits, regular system updated and patching and robust data practices to ensure data used for training is clean to prevent data poisoning.

✳️ Bias and Fairness Issues: AI models can inherit biases from training data, resulting in unfair or discriminatory outcomes, especially in applications like facial recognition and content recommendation.
🛡️ Ensure AI training data is diverse and representative of all demographic groups to minimize inherent biases and conduct regular audits of AI systems to identify and address any biases that may emerge over time.

✳️ Reliability and Robustness: To prevent failures, ensure AI-driven AV systems are reliable and robust, as they may not always perform as expected in dynamic environments.
🛡️ Thorough testing, regular system patching, implementing system redundancy to ensure continuity and active system monitoring are some measures to ensure AI powered AV system robustness.

✳️ Ethics: The ethical use of AI in AV systems, particularly concerning surveillance and consent, is increasingly important. Organizations must align AI applications with ethical standards and respect user rights.
🛡️ Adopting human oversight of AI in AV system, maintaining adherence with relevant privacy laws such as GDPR, maintaining transparency on AI operations and traceability to input data etc are ways to ensure ethical use of AI in AV.

To unlock AI's full potential, Pro AV must seamlessly align AI adoption, governance, and security, ensuring transformative and tangible gains in AV systems.