Past Events

 ⁣🎙️Lawrence Lynch (Metatron Consulting) on Industry AI Use Cases
🎙️ Rachel Finn (Trilateral Research) on the EU AI Act⁣
🎙️ Prof. Olle Häggström (Chalmers University) on AI safety and risk⁣
🎙️ Joe Keating (Slalom) on data management and innovation⁣
🎙️Art, CISO on securing AI infrastructure⁣
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𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐬𝐨𝐦𝐞 𝐨𝐟 𝐦𝐲 𝐤𝐞𝐲 𝐢𝐧𝐟𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐩𝐨𝐢𝐧𝐭𝐬 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐜𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞. ⁣

◻ 𝐓𝐡𝐞 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞: Art was insightful on how as AI systems become more advanced and integrated, ensuring security is no longer optional. Organizations must prioritize securing both their AI technologies and the data these systems rely on to prevent vulnerabilities.⁣
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◻ 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐄𝐔 𝐀𝐈 𝐀𝐜𝐭: As expertly explained by Rachel, The EU AI Act is setting the standard for responsible AI development. Businesses must be proactive in aligning with regulatory requirements, ensuring that transparency, risk management, and human oversight are built into their AI systems and upskilling their teams to meet the new requirements.
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◻ 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞: Joe carefully made the case of how AI’s success is driven by data. Therefore, having strong data management and governance policies in place ensures that AI solutions are not only innovative but also secure, ethical, and compliant with regulatory standards.⁣

◻ 𝐓𝐡𝐞 𝐍𝐞𝐞𝐝 𝐟𝐨𝐫 𝐂𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐯𝐞 𝐀𝐈 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲: With AI touching every facet of business operations, from ethics and compliance to data governance and security, having a well-defined AI strategy is no longer optional. Organizations must build a comprehensive framework that addresses these critical needs to stay competitive and responsible.⁣
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◻ 𝐇𝐮𝐦𝐚𝐧𝐬-𝐢𝐧-𝐭𝐡𝐞-𝐋𝐨𝐨𝐩: Essential for Responsible AI Design: As highlighted by Prof. Olle Häggström, keeping humans in the loop is a crucial design principle in AI development. By incorporating human oversight and decision-making into AI systems, organizations can ensure better outcomes, reduce errors, and maintain ethical standards. Human-AI collaboration brings the benefits of both automation and responsible human judgement, leading to more reliable and trustworthy AI applications.⁣⁣