Industry Symposium by Bayer

AI-IND 3 - Pecha Kucha AI Sessions: Monitoring, Benchmarking, Data Privacy and Ethics

Lectures

1
Introduction

Introduction

05:00Joana Roque Dos Reis, Lørenskog / NO

2
Monitoring of AI

Monitoring of AI

07:00Kanwal Bhatia, London / UK

3
Benchmarking of AI

Benchmarking of AI

--:--James Blackwood, Glenboig, North Lanarkshir / UK

4
Cybersecurity in AI

Cybersecurity in AI

07:00Lucia Fernandez Lopez, Berlin / DE

5
Ethics and AI

Ethics and AI

07:00Ankur B Sharma, Sewickley / US

6
Q&A

Q&A

27:00Q&A

Ethics play a pivotal role in guiding the ethical trajectory of AI, impacting its development, deployment, and societal repercussions significantly. These guiding principles serve as a deterrent against biases, privacy infringements, and potential societal harm. Equally crucial in the AI landscape is the aspect of data privacy, serving as a cornerstone for safeguarding personal information. Upholding stringent privacy standards not only prevents misuse but also cultivates trust among users, fostering an environment conducive to innovation while honoring individuals' privacy rights. Furthermore, benchmarking in AI stands as a fundamental pillar, establishing performance standards, facilitating innovation, allowing comparison among different AI models, and propelling the evolution of system development. Concurrently, monitoring AI systems is indispensable, ensuring continual performance adherence to ethical standards. Vigilant oversight not only detects biases but also facilitates timely adjustments, aligning AI practices with the evolving ethical landscape to maintain trust and reliability.

5 min
Introduction
Joana Roque Dos Reis, Lørenskog / Norway
7 min
Monitoring of AI
Kanwal Bhatia, London / United Kingdom
1. Highlight the significance of continuous monitoring and oversight in AI systems to ensure sustained performance and ethical adherence.
2. Explore existing monitoring strategies and frameworks utilized to ensure continual AI performance and fairness.
7 min
Benchmarking of AI
James Blackwood, Glenboig, North Lanarkshir / United Kingdom
1. Emphasize the importance of standardized benchmarks in establishing uniform performance evaluation criteria across various AI models.
2. Discuss relevant metrics and indicators used in benchmarking to assess AI models' efficiency, accuracy, and capabilities.
7 min
Cybersecurity in AI
Lucia Fernandez Lopez, Berlin / Germany
1. Highlight the critical role of robust data protection measures in AI systems.
2. Explain the ethical considerations in handling personal data within AI systems.
7 min
Ethics and AI
Ankur B Sharma, Sewickley / United States
1. Explain the significance of ethical principles in shaping the trajectory of AI development and deployment.
2. Discuss practical methods to integrate ethical considerations into AI design, development, and deployment processes.
27 min
Q&A

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This session offers AI-generated subtitles.