All current Responsible AI Courses courses in 2024
115 קורסים
AI Meets Accessibility: A Conversation with Ioana Tanase and Christina Mallon
AI Meets Accessibility: A Conversation with Ioana Tanase and Christina Mallon
Don't miss out on an enlightening conversation between Ioana Tanase and Christina Mallon as they delve into the critical aspects of AI and accessibility. This event underscores the importance of responsible AI practices tailored for individuals with d.
LinkedIn Learning
Building a Responsible AI Program: Context, Culture, Content, and Commitment
Building a Responsible AI Program: Context, Culture, Content, and Commitment
Organizations leveraging AI must do so responsibly. Join us for the course "Building a Responsible AI Program: Context, Culture, Content, and Commitment" on LinkedIn Learning. Understand the nuances of ethical AI use and ensure your practices align with societal expect.
LinkedIn Learning
Leading Responsible AI in Organizations
Leading Responsible AI in Organizations
Explore the intricacies of managing AI technologies responsibly with our course, "Leading Responsible AI in Organizations." Provided by LinkedIn Learning, this course falls under crucial categories such as Data Governance, Responsible AI, and Regulatory Compliance.
Learn how to.
LinkedIn Learning
Responsible AI to the Rescue
Responsible AI to the Rescue | LinkedIn Learning
Discover how businesses can integrate advanced AI technologies in a responsible manner, ensuring both their safety and that of their customers. This course, provided by LinkedIn Learning, delves into the nuances of AI governance, risk management, and regulatory compliance. Ideal for professional.
LinkedIn Learning
Generative AI for Business Consultants
Generative AI for Business Consultants
This specialization helps learners leverage Gen AI tools effectively in a consulting framework. With a focus on responsible and ethical use, gain a balanced view on utilizing Gen AI in practical work situations, addressing complex challenges, and delivering significant value to.
Coursera
Responsible AI for Developers: Fairness & Bias - 한국어
Responsible AI for Developers: Fairness & Bias - 한국어
Title: Responsible AI for Developers: Fairness & Bias - 한국어
Description: 이 과정에서는 책임감 있는 AI라는 개념과 AI 원칙을 소개합니다. 공정성과 편향을 실질적으로 식별하고 AI/ML 실무에서 편향을 완화하는 기법을 알아봅니다. Google Cloud 제품과 오픈소스 도구를 사용하여 책임감 있.
Coursera
Responsible AI for Developers: Interpretability & Transparency - Polski
Responsible AI for Developers: Interpretability & Transparency - Polski
Na tym szkoleniu przedstawiamy koncepcje interpretowalności i przejrzystości AI. Omawiamy na nim, jak ważna jest przejrzystość AI dla deweloperów i inżynierów. Pokazujemy praktyczne techniki i narzędzia, które pomagają osiągnąć interpretowalność oraz przejrzystość zarówno w.
Coursera
Responsible AI for Developers: Interpretability & Transparency - 繁體中文
Responsible AI for Developers: Interpretability & Transparency - 繁體中文 | Coursera
本課程旨在說明 AI 的可解釋性和透明度概念、探討 AI 透明度對開發人員和工程師的重要性。課程中也會介紹實務方法和工具，有助於讓資料和 AI 模型透明且可解釋。
University: Provider: Coursera
Categories:
Artificial Intelligence Courses,
Machine Learning Courses,
Data S.
Coursera
Responsible AI for Developers: Interpretability & Transparency - Italiano
Responsible AI for Developers: Interpretability & Transparency - Italiano
Questo corso introduce i concetti di interpretabilità e la trasparenza dell'AI. Parla dell'importanza della trasparenza dell'AI per sviluppatori ed engineer. Illustra metodi e strumenti pratici per aiutare a raggiungere interpretabilità e trasparenza sia nei dati che nei.
Coursera
Responsible AI for Developers: Fairness & Bias - Українська
Responsible AI for Developers: Fairness & Bias - Українська
Під час цього курсу ви зможете ознайомитися з концепціями відповідального підходу й принципами щодо штучного інтелекту. Ви дізнаєтеся про практичні методи виявлення об’єктивності й упередженості в роботі ШІ та технологій машинного навчання, а також ознайомитеся зі способами мінімізувати.
Coursera
Responsible AI for Developers: Interpretability & Transparency - 日本語版
Responsible AI for Developers: Interpretability & Transparency - 日本語版
このコースでは、AI の解釈可能性と透明性のコンセプトを紹介します。デベロッパーとエンジニアにとって AI の透明性が重要であることについて説明します。データと AI モデルの両方で解釈可能性と透明性を達成できる実践的な方法とツールを検証します。
Coursera