Published Aug 24, 2021

Exploring a new AI lexicon

Explore the evolving AI lexicon and its ethical challenges as hosts Chris Benson and Daniel Whitenack unravel the complexities of AI terminology and cultural perceptions, highlighting the need for clear language to make AI more accessible and mitigate misuse, while also delving into deep learning applications and innovative code generation tools.

Episode Highlights

Topics covered

Episode Highlights

Related Episodes

Explainable AI that is accessible for all humans
Answers 383 questions
Applied NLP solutions & AI education
Answers 383 questions
Generative models: exploration to deployment
Answers 383 questions
Data science for intuitive user experiences
Answers 383 questions
Exploring deep reinforcement learning
Answers 383 questions
AI's impact on developers
Answers 383 questions
Explaining AI explainability
Answers 383 questions
Answering recent AI questions from Quora
Answers 383 questions
AI code that facilitates good science
Answers 383 questions
The new AI app stack
Answers 383 questions
From symbols to AI pair programmers 💻
Answers 383 questions
IBM's AI for detecting neurological state
Answers 383 questions
The perplexities of information retrieval
Answers 383 questions
So you have an AI model, now what?
Answers 383 questions
AI adoption in the enterprise
Answers 383 questions

Dexa/Practical AI

Exploring a new AI lexicon

Topics covered

Popular Clips

Smart Technology Risks

Electronic Brain Insights

AI Perception Shift

Fully Connected Fun

Cognitive and AI

Deep Learning Applications

AI Insights

Understanding AI Models

AI Lexicon Evolution

Work and Life Update

Unveiling AI Terminology

AI Code Generation

Dive into Deep Learning

Episode Highlights

Ethical AI Concerns

AI Lexicon Evolution

Deep Learning Applications

AI Perception Shifts

Related Episodes

Explainable AI that is accessible for all humans

Applied NLP solutions & AI education

Generative models: exploration to deployment

Data science for intuitive user experiences

Exploring deep reinforcement learning

AI's impact on developers

Explaining AI explainability

Answering recent AI questions from Quora

AI code that facilitates good science

The new AI app stack

From symbols to AI pair programmers 💻

IBM's AI for detecting neurological state

The perplexities of information retrieval

So you have an AI model, now what?

AI adoption in the enterprise

Exploring a new AI lexicon

Topics covered

Popular Clips

Episode Highlights

Ethical AI ConcernsThe conversation shifts to the ethical challenges of AI, focusing on monitoring applications and the risks of function creep. Daniel and Chris explore how AI tools can be misused and the importance of ethical guidelines in mitigating these risks.

Ethical AI Concerns

AI Lexicon EvolutionThe episode explores the complexities of AI terminology, focusing on how certain terms can mystify or mislead. Daniel Whitenack and Chris Benson aim to simplify these concepts, making AI more accessible and understandable.

AI Lexicon Evolution

Deep Learning ApplicationsDaniel Whitenack and Chris Benson explore valuable learning resources and innovative AI code generation tools. They discuss how these developments are making AI more accessible and practical for a wider audience.

Deep Learning Applications

AI Perception ShiftsThe discussion shifts to cultural interpretations of AI, highlighting how language influences our perception of technology. Daniel Whitenack and Chris Benson examine how Cantonese terms for AI-related concepts offer unique insights into its practical applications.

AI Perception Shifts

Related Episodes