Heartbeat

SEPTEMBER 13, 2023

Source: ResearchGate Explainability refers to the ability to understand and evaluate the decisions and reasoning underlying the predictions from AI models (Castillo, 2021). Explainability techniques aim to reveal the inner workings of AI systems by offering insights into their predictions. What is Explainability?

Explainability 52

Explainability Machine Learning Deep Learning Explainable AI 52

Mlearning.ai

FEBRUARY 6, 2023

These issues are localized to OpenAI’s Text Classifier specifically and may not generalize to production-ready AI-Detectors in general. For example, Stanford received around 55,471 applications in 2021 [5]. This is why we need Explainable AI (XAI). My AI Safety Lecture for UT Effective Altruism. Nauta, R.v.

Explainable AI 52

Explainable AI Explainability ChatGPT Chatbots 52

ML @ CMU

MARCH 31, 2023

This blog post discusses the effectiveness of black-box model explanations in aiding end users to make decisions. However, while numerous explainable AI (XAI) methods have been developed, XAI has yet to deliver on this promise. On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods.

ML 98

ML Explainability Algorithm Machine Learning 98

ML @ CMU

MARCH 30, 2023

This blog post discusses the effectiveness of black-box model explanations in aiding end users to make decisions. However, while numerous explainable AI (XAI) methods have been developed, XAI has yet to deliver on this promise. On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods.

ML 52

ML Explainability Algorithm Machine Learning 52

IBM Journey to AI blog

APRIL 11, 2023

The new rules, which passed in December 2021 with enforcement , will require organizations that use algorithmic HR tools to conduct a yearly bias audit. It is important to choose an auditor that specializes in HR or Talent and trustworthy, explainable AI, and has RAII Certification and DAA digital accreditation.

AI Strategy 221

AI Strategy Algorithm Automation AI 221

Mlearning.ai

FEBRUARY 7, 2023

Some of the posts, blogs, and articles dealing with this new phenomenom, well, really don’t deserve any attention. It can write, explain, and correct code in many major programming languages (such as Python and JavaScript), data formats (such as HTML, JSON, XML, and CSV) and other structured languages like SQL. Image credit: Chrome.

ChatGPT 105

ChatGPT Large Language Models Explainability Machine Learning 105

The MLOps Blog

AUGUST 11, 2023

But some of these queries are still recurrent and haven’t been explained well. This blog will answer these questions by exploring the following: 1 What is pipeline architecture and design consideration, and what are the advantages of understanding it? 2021, July 15). How should the machine learning pipeline operate?

ML 52

ML Machine Learning Data Ingestion Deep Learning 52