AI Organizations
This research organization created GPT-4o and focuses on developing AI that benefits humanity.
What is OpenAI?
This AI framework involves human feedback to guide machine learning models.
What is Human-in-the-Loop (HITL) AI?
Human feedback in AI training can reinforce existing biases instead of fixing them.
What is bias introduction?
Instead of focusing on full automation, AI should shift toward this type of approach.
What is collaboration-first AI?
AI-generated code and automation tools are starting to replace jobs at this career level.
What are entry-level jobs?
This AI research lab is known for developing AlphaGo and AlphaFold.
What is DeepMind?
These models are designed to be naturally understandable, using techniques like decision trees.
What are interpretable models?
This problem occurs when people rely too much on AI decisions instead of using their own judgment.
What is overreliance on automation?
HITL should evolve into a system where AI doesn’t just receive human feedback but does this instead.
What is learning from human expertise in a two-way exchange?
To stay relevant in an AI-driven world, humans should focus on skills that AI struggles with, such as creativity and this ethical decision-making ability.
What is ethical reasoning?
This MIT-based research lab explores human-computer interaction and AI’s role in creativity.
What is MIT Media Lab?
SHAP, which assigns importance scores to input features, is an example of this XAI technique.
What is feature attribution?
Enhancing AI transparency can make AI systems vulnerable to cyber threats.
What are security vulnerabilities?
Future AI systems should explain their decisions in ways that are easier to understand for this group.
Who are everyday users?
This unintended issue occurs when AI efficiency is prioritized over human well-being and workforce development.
What is job displacement?
This AI researcher leads Cohere for AI and studies the social impact of AI.
Who is Sara Hooker?
This concept describes AI and humans improving through continuous learning from one another.
What is Reciprocal Human-Machine Learning (RHML)?
The challenge of balancing AI model interpretability with performance is known as this.
What is the trade-off between explainability and accuracy?
AI should incorporate this, rather than just statistical data, to improve real-world decision-making.
What is real-world context?
One solution to AI replacing jobs is not to compete with it but to do this instead.
What is work alongside AI?
A pioneer in artificial intelligence, this researcher focuses on AI’s ability to interact with humans in meaningful ways.
Who is Luc Steels?
These visualization methods show which parts of an input AI focused on during decision-making.
What are saliency maps?
This unintended issue arises when AI explanations are convincing but still incorrect.
What is overconfidence in AI outputs?
To make AI ethical and inclusive, companies should focus on this instead of just efficiency.
What is human well-being and inclusion?
Future software engineers will need to focus on this field in addition to coding and algorithms?
What is human-AI interaction and ethics?