Responsible AI Summit Conference Day 2 - Wednesday 18 September


8:00 am - 8:45 am Registration & Breakfast

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Myrna Macgregor

Principal Data Strategist and Lead for Responsible AI & Robotics
Ocado Technology

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.

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Laura Caroli

Former Policy Advisor, EU Parliamentary Assistant
European Parliament

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Miguel Valle del Olmo

Digital Transformation Attaché & Vice-Chair - OECD Working Party on Artificial Intelligence (WP-AIGO)
Spanish Permanent Representation to the EU

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Myrna Macgregor

Principal Data Strategist and Lead for Responsible AI & Robotics
Ocado Technology

​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?

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Hans-Petter (”HP”) Dalen

Business Leader EMEA, IBM watsonx and embeddable AI
IBM

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Darren Franklin

Chief Technologist for Data and AI within the UK Office of the CTO
Computacenter

10:00 am - 10:30 am Morning Refreshment Break

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.

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Ben Tagger

Head of Data Science
Bupa

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Rozemarijn Jens

AI Ethics and Compliance Lead
Shell

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Chris Jefferson

CTO, Co-Founder
Advai

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Valery Otieno

Technology Policy Associate
Ofcom

11:00 am - 11:30 am Presentation: Navigating Third Party Model Vendors in Responsible AI: Threats, Challenges and Solutions

Detlef Nauck - Head of AI & Data Science Research, BT

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.

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Detlef Nauck

Head of AI & Data Science Research
BT

11:30 am - 12:00 pm Presentation: Perspectives on How to Implement Efficient and Effective AI Governance

Evie Kyriakides-Stenhouse - Group Head of Data Privacy and Chief Privacy Officer, Natura & Co.
Ranu Dangi Bhandari - Privacy Associate, Natura & Co.


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Evie Kyriakides-Stenhouse

Group Head of Data Privacy and Chief Privacy Officer
Natura & Co.

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Ranu Dangi Bhandari

Privacy Associate
Natura & Co.

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.

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