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Explainable AI and ChatGPT Detection

Mlearning.ai

For example, Stanford received around 55,471 applications in 2021 [5]. This is why we need Explainable AI (XAI). Attention mechanisms have often been touted as an in-built explanation mechanism, allowing any Transformer to be inherently explainable. My AI Safety Lecture for UT Effective Altruism. Serrano, N.

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Explainability in AI and Machine Learning Systems: An Overview

Heartbeat

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?

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Global executives and AI strategy for HR: How to tackle bias in algorithmic AI

IBM Journey to AI blog

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.

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The ChatGPT list of lists: A collection of 1500+ useful, mind-blowing and strange use-cases…

Mlearning.ai

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. 1x: A nice prompt forcing the AI to interrupt itself while explaining AI alignment. Image credit: Chrome.

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11 Open Source Data Exploration Tools You Need to Know in 2023

ODSC - Open Data Science

Sam Bail, technical lead at Superconductive (the core maintainers behind Great Expectations), delivered a talk about building a robust data pipeline during ODSC East 2021. You can watch it on demand here.

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2024 Tech breakdown: Understanding Data Science vs ML vs AI

Pickl AI

Market Value and Growth In 2021, the market size of Global Data Science platforms reached USD 64.14 Emerging Trends Emerging trends in Data Science include integrating AI technologies and the rise of Explainable AI for transparent decision-making. billion in 2022 to a remarkable USD 484.17 billion by 2029.

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“Artificial Intelligence Act “— EU attempts to tame the tech dragon

Mlearning.ai

The EU AI Act is a proposed piece of legislation that seeks to regulate the development and deployment of artificial intelligence (AI) systems across the European Union. Photo by Guillaume Périgois on Unsplash EU AI Act: History and Timeline 2018 : EU Commission starts pilot project on ‘Explainable AI’.