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World Congress 2023 • Aug 11, 2023

The shadows that follow the AI generative models

Cheuk Ho

Stack Overflow restricted AI answers due to unpredictable hallucinations. Uncover the hidden operational vulnerabilities of LLMs and learn how to build robust ethical safeguards for your engineering team.

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#1 about 3 min

Introduction to generative AI and content warnings

An overview of generative AI models alongside content warnings regarding sensitive topics.

#2 about 2 min

Basics of generative AI and prompt interactions

How generative AI models process training data and user prompts to produce new content.

#3 about 4 min

Examples of generative AI applications in media and code

A look at AI-generated images, music, code, and project management tools.

#4 about 6 min

Evaluating the accuracy and correctness of generated content

The challenges of relying on AI for accurate technical answers and the risks of model hallucination.

#5 about 2 min

Security risks involving prompt injection attacks

How prompt injections allow users to manipulate model outputs similar to SQL injection attacks.

#6 about 3 min

Determining ownership and responsibility for generated content

The ethical dilemmas around assigning responsibility for copyright and inappropriate outputs in generated content.

#7 about 4 min

Addressing inherent biases in large language models

Examples of how training data perpetuates racial and gender biases in generated outputs.

#8 about 3 min

Harmful applications including deepfakes and non-consensual imagery

The illegal use of generative AI to create non-consensual imagery and fraudulent identities.

#9 about 2 min

Emerging regulations and cultivating careers in AI ethics

Current regulatory efforts and opportunities for professionals to engage with AI ethics initiatives.

#10 about 3 min

Audience questions on deepfake detection, regulations, and ethics

A discussion on detecting deepfakes, balancing regulations with startup innovation, and mitigating systemic biases.

Matching moments

1:34 min

Mitigating the inherent challenges of generative AI tools

Mary Grygleski Mary Grygleski · LIVE

7:41 min

Exploring the ethical and legal implications of deepfakes

Timo Zander · World Congress 2022

2:13 min

Identifying and hardening against generative AI risks

Rebekka Weiss Rebekka Weiss +1 · World Congress 2025

5:18 min

Addressing psychological safety and ethical risks of AI adoption

Vera Slavnić Vera Slavnić · Europe 2026 Virtual

1:28 min

Core challenges facing the generative AI developer ecosystem today

Prashanth Chandrasekar Prashanth Chandrasekar · World Congress 2024

2:33 min

Moving from secure software behavior to trustworthy AI

Matteo Meucci Matteo Meucci · Europe 2026 Virtual

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Upcoming sessions on this topic

Open session

Beware of Strangers Bearing Code: Open Source Trust in the Agent Era

  • Vikram Vaswani

    Consultant

Open session

From Prompt Engineering to Harness Engineering: Building Observable and Governed GenAI Systems

  • Lakshmi Devi Prakash

    JPMorgan Chase

    VP, Applied AI/ML Lead

Open session

Prompt Debt: Why Your AI System Is Frozen in Time

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    Principal Software Engineer

Open session

Build a Zero-Cost AI Agent in Your Browser

  • Aishwarya Mathuria

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  • Nishant Thakur

    Adobe

    Senior Computer Scientist

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Teaching AI Coding Agents to Build It Right the First Time

  • Sajeetharan Sinnathurai

    Microsoft

    Principal Product Manager

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