This study introduces Clarity and Reasoning Interface for Artificial Intelligence (ClarifAI), a novel approach designed to augment the transparency and interpretability of artificial intelligence (AI) in the realm of improved decision making. Leveraging the Case-Based Reasoning (CBR) methodology and integrating an ontology-driven approach, ClarifAI aims to meet the intricate explanatory demands of various stakeholders involved in AI-powered applications. The paper elaborates on ClarifAI's theoretical foundations, combining CBR and ontologies to furnish exhaustive explanation mechanisms. It further elaborates on the design principles and architectural blueprint, highlighting ClarifAI's potential to enhance AI interpretability across different sectors and its applicability in high-stake environments.

In today's digital age, characterized by rapid news consumption and increasing vulnerability to propaganda, fostering citizens' critical thinking is crucial for stable democracies. This paper introduces the design of ClarifAI, a novel automated propaganda detection tool designed to nudge readers towards more critical news consumption by activating the analytical mode of thinking, following Kahneman's dual-system theory of cognition. Using Large Language Models, ClarifAI detects propaganda in news articles and provides context-rich explanations, enhancing users' understanding and critical thinking. Our contribution is threefold: first, we propose the design of ClarifAI; second, in an online experiment, we demonstrate that this design effectively encourages news readers to engage in more critical reading; and third, we emphasize the value of explanations for fostering critical thinking. The study thus offers both a practical tool and useful design knowledge for mitigating propaganda in digital news.

Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, and audio recognition. We help organizations transform unstructured images, video, text, and audio data into structured data at a significantly faster and more accurate rate than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States and in Tallinn, Estonia. We have raised $100M in funding to date, with $60M coming from our most recent Series C, and are backed by industry leaders like Menlo Ventures, Union Square Ventures, Lux Capital, New Enterprise Associates, LDV Capital, Corazon Capital, Google Ventures, NVIDIA, Qualcomm and Osage.

Online dating company Match Group wants the court proceedings in an investigation being carried out by the U.S. Federal Trade Commission (FTC) for allegedly sharing users' photos with a facial recognition company to proceed in secret. The news comes from a Reuters investigation, after it spotted an FTC petition filed on 26 May forcing Match to provide documents related to an alleged 2014 data-sharing deal between Match subsidiary OkCupid and biometric solutions provider Clarifai. The background is that in 2019 a New York Times article claimed that Clarifai built its database of faces for biometric algorithm training using OkCupid user photos provided by an OkCupid founder and Clarifai investor. At the time, both OkCupid and Match denied any commercial agreement with Clarifai, so in 2020 the FTC followed up by demanding documentation around that alleged deal. A lawsuit filed under Illinois' BIPA was dismissed for lack of jurisdiction, and the companies hid behind attorney-client and work-product privilege to avoid providing the requested 136 documents, which in turn led to May's petition by the FTC.

Executives at facial recognition firm Clarifai may have sighed with relief in March 2021 when a judge agreed that they could not be sued for violating Illinois' biometric privacy law, but then the federal government came knocking. The Federal Trade Commission now wants to know how the face image that a woman posted on the OkCupid dating site ended up being used as training data by Clarifai without her consent or disclosing the transaction as required by Illinois' Biometric Information Privacy Act. Clarifai makes computer vision, deep learning AI and biometrics systems. Claiming that its investigation is being stonewalled by Match Group, owner of OkCupid, the FTC has filed suit (case number 1:22-mc-00054), according to Bloomberg Law. The government claims that OkCupid engaged in unfair and deceptive conduct by sharing biometric data with Clarifai in 2014.

Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, and audio recognition. We help organizations transform unstructured images, video, text, and audio data into structured data at a significantly faster and more accurate rate than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States and in Tallinn, Estonia. We have raised $100M in funding to date, with $60M coming from our most recent Series C, and are backed by industry leaders like Menlo Ventures, Union Square Ventures, Lux Capital, New Enterprise Associates, LDV Capital, Corazon Capital, Google Ventures, NVIDIA, Qualcomm and Osage.

With the growing technological advancements, it is now possible to create complex applications without spending huge amounts of money, or waiting for months and years, and employ multiple developers. The introduction of low-code and no-code platforms has made it possible to build applications integrated with advanced technologies. With the advent of these platforms, more and more businesses are looking to leverage their power to build AI products. This brings the visual drag-and-drop tools to the picture to help data scientists fill the void and make AI less intimidating for less technical people. In this article, we talk about the top low-code or no-code platforms to build AI products.

Artificial intelligence (AI) is what computer scientist Andrew Ng calls "the new electricity." However, despite its abilities and appeal, AI is not a fit for every situation. In my earlier article, I presented 5 scenarios to avoid investing in AI. To find out if your startup needs AI, start by prioritizing your business problems. Frame the best approach to solve these challenges and evaluate how technology can help you.

Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision and natural language processing. We help organizations transform unstructured images, video, and text data into structured data at a significantly faster and more accurate rate than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States and in Tallinn, Estonia. We have secured $40M in funding up to date, backed by Menlo Ventures, Google Ventures, USV, NVIDIA, Qualcomm, Osage, Lux Capital, LDV Capital, and Corazon Capital.

Those that haven't, are struggling to survive. We aren't, and what sets us apart, keeps us alive, and on top, is our intelligence. Artificial Intelligence, or AI, allows us to clone this great gift, i.e. human intelligence, using machines. In this article, we won't cover what's widely known -- how AI is changing the world for the better, from suggesting what you should watch next on Netflix to detecting signs of cancer in medical images better than doctors. We will instead focus on what's not often talked about -- how human bias can creep into AI, and how to avoid it.