AI Ethics: Finding Balance in Technical Development

Описание: #AIEthics #ResponsibleAI #EthicalAI #AIEngineering #TrustworthyAI
As AI systems continue to scale in complexity and influence real-world decisions, embedding ethical clarity into technical development has become essential. In this exclusive 1-hour session, we explore the real ethical dilemmas engineers face while building AI systems—balancing performance with fairness and navigating trade-offs between data utility and user privacy.

This session goes beyond theory to provide practical, engineering-focused frameworks that help teams integrate responsible innovation directly into AI workflows. Learn how ethical decision-making can reduce risk, build trust, and support sustainable AI systems without slowing innovation.

Access the full session here: https://zurl.co/3aqzb

Key Highlights
• Real-world ethical conflicts in AI and machine learning development
• Practical frameworks for ethical decision-making in engineering teams
• Strategies to balance model performance, fairness, and privacy
• Techniques to reduce risk and increase trust in AI systems
• How to embed responsible innovation into everyday AI workflows

Why Should You Watch?
If you are building, deploying, or leading AI initiatives, this session will help you understand how ethical considerations impact real technical decisions. Ideal for AI/ML engineers, data scientists, technology and product leaders, data & analytics professionals, and tech policy or compliance teams seeking practical guidance on responsible AI development.

Speaker
Jeremy Adamson is a seasoned analytics and AI leader with extensive experience building high-performing data teams and AI Centers of Excellence across global organizations. Author of Minding the Machines (Wiley, 2021), he is passionate about ethical AI, responsible innovation, and mentoring the next generation of analytics leaders. Jeremy has delivered talks and training to thousands of leaders worldwide across finance, energy, logistics, and the public sector.

AI ethics is no longer optional—it is a core part of modern AI engineering. This session equips you with the insight and frameworks needed to build AI systems that are both powerful and responsible.

Watch the full recording: https://zurl.co/3aqzb

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