PJ Hagerty
AI & Ethics
#1about 6 minutes
Defining key AI concepts from algorithms to LLMs
Key terms like algorithm, machine learning, deep learning, foundation models, and large language models (LLMs) are defined to establish a common understanding.
#2about 3 minutes
Understanding and addressing inherent bias in AI models
AI models inherit biases from their training data, which can lead to unethical outcomes like offensive chatbots if not carefully managed.
#3about 5 minutes
The danger of AI hype and misapplication in business
Many businesses claim to use AI when they are only using simple algorithms, leading to misapplication and wasted resources on overhyped solutions.
#4about 2 minutes
The ethical risks of outdated and insecure AI models
Large language models quickly become outdated and can be exploited without proper security guardrails, posing significant ethical risks like malicious image generation.
#5about 3 minutes
AI's current state is more toddler than terminator
Current AI is comparable to a toddler that repeats what it hears without true reasoning, meaning it is not yet capable of replacing complex developer roles.
#6about 3 minutes
Learning from past failures in AI development
Historical examples like Microsoft's Tay chatbot and biased facial recognition systems demonstrate the critical need for guardrails and diverse testing data.
#7about 2 minutes
Accountability, auditability, and end-user rights in AI
Developers have a responsibility to build accountable and publicly auditable AI systems while ensuring end-users are informed and have the right to opt out.
#8about 4 minutes
Practical governance and technical solutions for ethical AI
Adhering to regulations like GDPR and using technical solutions for prompt filtering, data anonymization, and hallucination mitigation are key to building ethical AI.
Related jobs
Jobs that call for the skills explored in this talk.
Featured Partners
Related Videos
Staying Safe in the AI Future
Cassie Kozyrkov
AI: Superhero or Supervillain? How and Why with Scott Hanselman
Scott Hanselman
Kill Switch or Moral Compass: Who Programs AI’s Conscience?
Torsten Stiller
A walkthrough on Responsible AI Frameworks and Case Studies
Toju Duke
Panel: How AI is changing the world of work
Pascal Reddig, TJ Griffiths, Fabian Schmidt, Oliver Winzenried, Matthias Niehoff & Mirko Ross
Bringing the power of AI to your application.
Krzysztof Cieślak
Five things in tech that matter and we have to make work
Christian Heilmann
The State of GenAI & Machine Learning in 2025
Alejandro Saucedo
From learning to earning
Jobs that call for the skills explored in this talk.


Senior Backend Engineer – AI Integration (m/w/x)
chatlyn GmbH
Vienna, Austria
Senior
JavaScript
AI-assisted coding tools
Content Expert, Artificial General Intelligence
Jobs for Humanity
Municipality of Madrid, Spain
XML
HTML
JSON
Python
Data analysis
+1
AI Content Expert, Artificial General Intelligence
Confidential Jobs
Dresden, Germany
XML
HTML
JSON
Python
Data analysis
+1




