Saturday, September 12Digital Marketing Journals

bias

What is Bias & Why Does It Happen in LLMs? | by Stefan Kojouharov | Oct, 2023
best chatbot, bias, bias-in-ai, chatbot, chatbot app, chatbot online, chatbot website, conversational-ui, creating chatbots, knowledge-base, llm, robot chat

What is Bias & Why Does It Happen in LLMs? | by Stefan Kojouharov | Oct, 2023

Bias has something profound to teach us about the human condition, which relates to attention.We all have a limited amount of attention and give our attention to the things we value.But how do we know what objects to give our attention to?How does the evaluation happen?It happens a prior. We don’t have enough time to scan the environment and evaluate everything single object.Instead, we simply filter the world for what we value.As a result, we are more familiar with and prefer what we value. These preferences can make us blind to other information and miscalculate its importance and value, which leads to Bias.So, Bias first happens a priori; it happens before we give our attention to an object, person, experience, or event.The second level of Bias occurs as a result of perspective.When we ...
Debiasing Speech Recognition Systems for Kids | by SoapBox
ai, ai bot, ai chat, ai chatbot, best chatbot, bias, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, conversation with ai, creating chatbots, debiasing, machine-learning, robot chat, speech-recognition

Debiasing Speech Recognition Systems for Kids | by SoapBox

Welcome to Lesson 4 in our “Lessons from Our Voice Engine” series, featuring high-level insights from our Engineering and Speech Tech teams on how our voice engine works. This lesson is from Dr. Amelia Kelly, VP of Speech Technology.What is debiasing?Artificial intelligence systems will reflect the conscious and unconscious biases of their creators and create poor — and often prejudicial — user experiences for underrepresented users. Machine learning algorithms are unique in that they carry out decisions based on what they’ve seen within a supplied dataset, rather than being explicitly programmed using a predetermined set of rules. Building a system based largely on data from one demographic will result in accurate performance of the speech recognition system for that sub-group, but inaccu...