with Shamoun Siddiqui, John Terrill, Tim, Witos, Dwayne Mann, Michael Anderson, & Barb Kiernan
July 25, 2024, (in person) 3:30p-8:30p
Mastermind Collaboration Forum
Thank you, Shamoun Siddiqui, VP Global CISO, The Upbound Group, John Terrill, CISO,
Phosphorus, Tim, Witos, VP Information Security, McKesson, Dwayne Mann, CISO, Concitor,
Michael Anderson, CTO, Dallas ISD, and Barb Kiernan, Zerto
Data risk, privacy concerns, and the integration of artificial intelligence (AI) have become paramount across all devices in today's digital landscape. With the proliferation of interconnected devices on the Internet of Things (IoT), data is constantly generated, transmitted, and stored, posing significant risks if not adequately protected. From smartphones and laptops to smart home devices and wearable tech, the sheer volume of personal and sensitive data collected raises concerns about unauthorized access, data breaches, and misuse.
Protecting privacy in this data-driven age has become a complex challenge. Users often unknowingly surrender personal information through various digital interactions, leading
to heightened scrutiny over data handling practices by tech companies and governments alike. From social media platforms leveraging user data for targeted advertising to concerns over facial recognition technology in surveillance systems, the balance between innovation and privacy preservation is delicate. Regulators are increasingly enacting stringent data protection laws such as the General Data Protection Regulation (GDPR) in the EU and the California Consumer Privacy Act (CCPA), aiming to empower individuals with more control over their personal data.
AI further complicates the landscape of data risk and privacy across devices. While AI technologies offer unprecedented opportunities for efficiency and personalization, they also raise ethical questions regarding algorithmic bias, data discrimination, and the potential for autonomous decision-making. As AI algorithms become more integrated into everyday devices, ensuring transparency, fairness, and accountability in their development and deployment is imperative. Moreover, the risks of AI-driven cyberattacks, manipulation of AI systems, and the amplification of misinformation underscore the need for robust governance frameworks and proactive risk management strategies. Balancing innovation with ethical considerations is crucial in harnessing the transformative power of AI while safeguarding individual privacy and data security across all devices.
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