explainX.ai

explainX aims to make AI models understandable and explainable to bring transparency, remove biases and help businesses generate maximum value from their AI.

[explainX.ai @explainx]

Explainable AI is the key to delivering accountability. Read more about it here #explainableAI https://t.co/2vMUsaREKR

[explainX.ai @explainx]

The National Insitute of Standards and Technology just proposed 4 guidelines to determine AI as “explainable.” Learn more here ⬇️ #explainableAI https://t.co/3ZSoOPX8Q9

[explainX.ai @explainx]

Humans make complex decisions through exemplar-based research. Wouldn’t it be great if our AI could do that as well? That is what we are doing at explainX — read our latest insights below. https://t.co/fJcNIrBUCe
#explainableai #responsibleai #machinelearning #blackbox #xai

[explainX.ai @explainx]

If you want to implement AI into your operations but aren’t quite sure how, you are in luck! Check out this article we wrote about how to get started with AI! #explainableAI https://t.co/ZdGyjgrBsN

[explainX.ai @explainx]

The Information Commissioner’s Office in the United Kingdom just released their guidance on AI. Nice to see government regulations continuing to advance and enhance the future of AI! #explainableAI https://t.co/XkagA7D4Ip

[explainX.ai @explainx]

COVID has undoubtedly affected many lives, and it has also altered the course of AI expansion. Find out more about how COVID has acted as a change agent to AI and what the future entails #explainableAI https://t.co/DkOTmsV6OH

[explainX.ai @explainx]

Wondering just exactly how our explainX platform works? Check out this use case walkthrough video we created a while back! #explainableAI https://t.co/gJPwC8Gomb

[explainX.ai @explainx]

How invested are you in determining the ethics of your AI? Here are three questions you should be asking and what to consider #explainableAI https://t.co/KWwq4YHQqQ

[explainX.ai @explainx]

Struggling to address problems in your AI model deployment? Here are three major challenges in AI deployment and how you can solve them ⬇️ #explainableAI https://t.co/nIiRFeCPGM

[explainX.ai @explainx]

Transparency and trust in AI is more important than ever. If you missed the talk our co-founder @raheelahmadxai gave at the Federated & Distributed Machine Learning Conference, check it out today! #explainableai https://t.co/ZRXJtz4ULC

[explainX.ai @explainx]

Check out this video that demonstrates how banks are gravitating towards explainable AI— just another example of how different industries continue to adopt xAI! #explainableai #xAI

[Temenos @Temenos]

Catch Prema Varadhan, Chief Product Architect and Head of AI at Temenos, on @Finextra TV as she discusses how banks are looking to Explainable AI (#XAI) to address urgent governance demands & gain competitive advantage.
https://t.co/H1AGrzhGtY

[explainX.ai @explainx]

A great opportunity to learn more about the need for explainability in our models! #explainableai

[The TWIML AI Podcast @twimlai]

The increased popularity of opaque ML models has led to the development of a thriving field of model explainability research and practice. Hear from experts and researchers on emerging ideas and the current state of the field! Register below: https://t.co/PteKVoUbTt

[explainX.ai @explainx]

Really interesting read here. Do you think by learning about AI’s past and its development, then we would be able to create a more efficient and ethical future for it? #AI #machinelearning

[Karen Hao @_KarenHao]

When people talk about "unintended consequences," says @png_marie, it sounds like they're saying the consequences couldn't have been predicted. But AI's unintended consequences are in fact highly predictable if you just look back at history. https://t.co/AzIqL0dKSY

[explainX.ai @explainx]

Explainable AI is a versatile tool but we can only tap into its full potential when we properly understand why it’s created. Read more about how knowing your why makes better decisions. #explainableai https://t.co/4p80MznEbi

[explainX.ai @explainx]

If you haven’t checked out our product road map, it is available on Trello! We want you to be a part of this journey with us in creating a future for explainable AI! #explainableai https://t.co/XTid8jLNFJ

[explainX.ai @explainx]

Want to read a refreshing take on xAI and its importance? Read @JoeBarkai’s article about xAI today! #explainableai https://t.co/ajdODa2R7G

[explainX.ai @explainx]

If you are looking for explainability and interpretability in your AI models and haven’t used our most recent version of explainX, v2.30, make sure to check it out today! #explainableai https://t.co/hvzIzaHnGs

[explainX.ai @explainx]

Self-explainable AI, interpretable AI, so many different types to learn about. Do you know the difference? #AI #artificialintelligence #explainableAI #xAI https://t.co/xlKIwx1l0Q

[explainX.ai @explainx]

Spending lots of time gathering potentially slanted data can inject bias into AI. This video shows how xAI gives us the tools to understand our why, allowing better decisions for companies and consumers. #explainableai #bias #biasinAI https://t.co/UvCXj4Y99r

[explainX.ai @explainx]

Facial recognition is becoming a large part of our society, from security uses to Face ID. This again demonstrates why we need explainable artificial intelligence #explainableai #xAI