Data Literacy

Do you interact with AI systems and are interested in promoting responsible AI practices in your organization? We created a course to teach you the essentials in under three hours. Take a look at the full syllabus and get started today: https://hubs.ly/Q02WPvdl0

Get up to speed on key concepts in responsible AI with our new course! See the topics we cover and earn your certificate and badge today: https://hubs.ly/Q02WP0yB0

➡️ ➡️ ➡️ Advancing Responsible AI: Our new course will help you become a knowledgable advocate for ethical and transparent AI practices. Here's the course outline: 🔵 Lesson 1: Bias and Fairness in AI 🔵 Lesson 2: Transparent and Explainable AI 🔵 Lesson 3: Privacy and Data Protection in AI 🔵 Lesson 4: AI Safety and Security 🔵 Lesson 5: Accountability and AI Governance 🔵 Lesson 6: AI’s Impact on Society and the Environment Look through the full course syllabus and enroll today ➡️ https://hubs.ly/Q02WP2LN0

📣 Calling all those who interact with AI systems and want to promote responsible AI practices in your organization! We created a course to teach you the essentials in under three hours. Take a look at the full syllabus and get started today: https://hubs.ly/Q02WPwH00

How do you measure fairness in AI? Take the first lesson of our Advancing Responsible AI course for free: https://hubs.ly/Q02WNS7v0 If you find it useful, enroll in the full course here: https://hubs.ly/Q02WNYrT0

What do you think are important aspects of responsible AI? Here are the six we focus on in our new course Advancing Responsible AI: 1️⃣ Bias and Fairness in AI: How to ensure fairness and prevent discrimination in AI systems. 2️⃣ Transparent and Explainable AI: The importance of transparency and explainability in AI decision-making. 3️⃣ Privacy and Data Protection in AI: Safeguarding privacy and protecting data in the age of AI. 4️⃣ AI Safety and Security: Ensuring the safety and security of AI applications. 5️⃣ Accountability and AI Governance: Implementing robust accountability and governance structures. 6️⃣ AI’s Impact on Society and the Environment: Maximizing the positive social and environmental impact of AI. You can learn about Bias and Fairness in our free lesson ➡️ https://hubs.ly/Q02W3W690 Then enroll in the full course here ➡️ https://hubs.ly/Q02W4sHs0

Our new course Advancing Responsible AI has about 90 minutes of video lessons, plus quizzes, knowledge checks, and additional resources. It takes about 3 hours to work through the course, and at the end, you'll receive a certificate and badge for your LinkedIn profile. Here's the course outline: 🔵 Lesson 1: Bias and Fairness in AI 🔵 Lesson 2: Transparent and Explainable AI 🔵 Lesson 3: Privacy and Data Protection in AI 🔵 Lesson 4: AI Safety and Security 🔵 Lesson 5: Accountability and AI Governance 🔵 Lesson 6: AI’s Impact on Society and the Environment Enroll today ➡️ https://hubs.ly/Q02W43TK0

Are you curious about bias and measuring fairness in AI? Take the first lesson of our Advancing Responsible AI course for free: https://hubs.ly/Q02W4vT10 If you find it useful, enroll in the full course here: https://hubs.ly/Q02W4kqY0

Are you looking to deepen your understanding of AI ethics and bring responsible AI practices to your organization? ⬇️ Watch this video to see if our Advancing Responsible AI course is right for you — you can enroll today: https://hubs.ly/Q02W41Hk0

In our new Advancing Responsible AI course, you'll learn techniques used to explain how AI models work, like SHAP (SHapley Additive exPlanations), shown with an illustrative example here. By the end of the course, you'll be able to assess, apply, and advocate for ethical AI practices in different fields. Plus you'll earn an Ethical AI Advocate badge that you can add to your LinkedIn profile. See the full course syllabus here: https://hubs.ly/Q02W7fz90 #AI #ResponsibleAI