This talk will divulge insights into the latest developments and implications of the EU AI Act, crucial for businesses navigating AI regulations.
• Staying informed: Keeping abreast of updates and guidelines issued by regulatory authorities to ensure compliance.
• Engaging with regulators: Collaborating with regulators and industry peers to shape responsible AI policies.
• Embracing regulatory sandboxes: Leveraging regulatory sandboxes to test and refine AI systems in a controlled environment.
Recent studies have shown that brands associated with AI are behind on trust. And as long as only about 5% of AI experiments are operationalised, businesses won't get the full potential of AI. The time for talk is over. We will discuss how to operationalise AI, and your data in a trusted and governed way to achieve AI innovation at scale.
- How do you mitigate the trust deficit associated with AI?
- How do you move your AI experiments from your sandboxes to full scale production?
This interactive session takes participants on a journey towards continually advancing Responsible AI operationalization by intertwining three critical elements. This is a chance for you & your peers to delve into the critical aspects of AI governance, spanning design, deployment, and ongoing monitoring, to ensure ethical and accountable AI practices.
• Establishing clear guidelines and policies for AI development aligned with ethical standards.
• Implementing robust monitoring mechanisms to track AI performance and identify potential biases.
• Fostering cross-functional collaboration to ensure alignment between AI initiatives and organizational values.
This session dives into the critical aspects of managing third-party vendors in the responsible AI landscape.
• Understanding multi-faceted risks: Ensuring vendor models align with ethical standards and mitigate biases.
• Implement rigorous evaluation processes: Utilize red teaming and constant monitoring to identify potential issues.
• Optimizing sustainability and cost-effectiveness: navigating the challenges in running own compute for flexibility and sustainability benefits.
Exploring the critical intersection of Responsible AI and HR practices from a range of expert perspectives, this panel addresses the urgency of governing AI in recruitment and selection. With large language models (LLMs) and other AI systems permeating the HR landscape, businesses must prioritize ethical governance frameworks in this area, in particular as the EU’s AI Act qualifies many of them as ‘high risk’:
• Establishing clear guidelines for AI application in HR, aligning with organizational values and legal standards.
• Fostering cross-functional collaboration between HR, legal, and technology departments to ensure comprehensive governance.
• Implementing practical training programs to empower HR professionals in responsible AI decision-making.