Best AI tools for< Identify Bias >

Skeptic Reader is a Chrome plugin that helps users detect bias and logical fallacies in real-time while browsing the internet. It uses GPT-4 technology to identify potential biases and fallacies in news articles, social media posts, and other online content. The plugin provides users with counter-arguments and suggestions for further research, helping them to make more informed decisions about the information they consume. Skeptic Reader is designed to promote critical thinking and media literacy, and it is a valuable tool for anyone who wants to navigate the online world with a more discerning eye.

Undetectable AI is a powerful tool that can help you detect, check, and humanize AI-generated text. With our advanced AI detection algorithms, you can be sure that your text is original and undetectable by AI checkers. Our AI checker can also help you identify any potential biases or errors in your text, ensuring that it is of the highest quality. Additionally, our AI humanizer can help you make your text more natural and human-like, making it more engaging for your readers.

Giskard is a testing platform for AI models that helps protect companies against biases, performance, and security issues in AI models. It offers automated detection of performance, bias, and security issues, unifies AI testing practices, and ensures compliance with the EU AI Act. Giskard provides an open-source Python library for data scientists and an enterprise collaborative hub to control all AI risks in one place. It aims to address the shortcomings of current MLOps tools in handling AI risks and compliance.

Endorsed is an AI-powered recruiting tool that helps companies review job applications more efficiently and effectively. It integrates with your existing applicant tracking system (ATS) to provide you with a co-pilot that can help you screen and rank candidates, identify top talent, and make better hiring decisions. Endorsed uses machine learning to analyze candidate resumes and applications, and then ranks them based on your specific criteria. This helps you to identify the most qualified candidates quickly and easily, so you can spend less time reviewing applications and more time interviewing the best candidates.

RoundOneAI is an AI-driven platform revolutionizing tech recruitment by offering unbiased and efficient candidate assessments, ensuring skill-based evaluations free from demographic biases. The platform streamlines the hiring process with tailored job descriptions, AI-powered interviews, and insightful analytics. RoundOneAI helps companies evaluate candidates simultaneously, make informed hiring decisions, and identify top talent efficiently.

Graphio is an AI-driven employee scoring and scenario builder tool that leverages continuous, real-time scoring with AI agents to assess potential, predict flight risks, and identify future leaders. It replaces subjective evaluations with AI-driven insights to ensure accurate, unbiased decisions in talent management. Graphio uses AI to remove bias in talent management, providing real-time, data-driven insights for fair decisions in promotions, layoffs, and succession planning. It offers compliance features and rules that users can control, ensuring accurate and secure assessments aligned with legal and regulatory requirements. The platform focuses on security, privacy, and personalized coaching to enhance employee engagement and reduce turnover.

Career Copilot is an AI-powered hiring tool that helps recruiters and hiring managers find the best candidates for their open positions. The tool uses machine learning to analyze candidate profiles and identify those who are most qualified for the job. Career Copilot also provides a number of features to help recruiters streamline the hiring process, such as candidate screening, interview scheduling, and offer management.

Hubert is a conversational AI platform designed to revolutionize the recruitment process by automating candidate screening and shortlisting. It offers a modern approach to traditional CV screening, saving time, promoting fairness, and enhancing candidate experience. With Hubert, recruiters can streamline their workflow, eliminate bias, engage candidates effectively, and scale recruitment efforts efficiently. The platform is built on structured interviews and AI technology to identify top candidates accurately and quickly. Hubert is integrated with popular ATS systems and caters to various industries, ensuring a seamless and personalized recruitment experience.

FairPlay is a Fairness-as-a-Service solution designed for financial institutions, offering AI-powered tools to assess automated decisioning models quickly. It helps in increasing fairness and profits by optimizing marketing, underwriting, and pricing strategies. The application provides features such as Fairness Optimizer, Second Look, Customer Composition, Redline Status, and Proxy Detection. FairPlay enables users to identify and overcome tradeoffs between performance and disparity, assess geographic fairness, de-bias proxies for protected classes, and tune models to reduce disparities without increasing risk. It offers advantages like increased compliance, speed, and readiness through automation, higher approval rates with no increase in risk, and rigorous Fair Lending analysis for sponsor banks and regulators. However, some disadvantages include the need for data integration, potential bias in AI algorithms, and the requirement for technical expertise to interpret results.

Applicant AI is an applicant tracking and recruiting software powered by AI (ATS). It helps companies review job applicants 10x faster by using AI to screen thousands of applicants and identify the right candidates in seconds. The tool transforms the traditional applicant selection process, saving users 80% of the time spent on screening. With features like AI-generated summaries, ratings, and custom instructions evaluation, Applicant AI streamlines the hiring process and ensures only high-quality applicants are considered. The platform is compliant with EU AI regulation, prioritizes human decision-making, and aims to minimize risks of unfair or biased outcomes in employment.

Pl@ntNet is a citizen science project available as an application that helps you identify plants from your photos. It is a collaborative project that brings together scientists, naturalists, and citizens from all over the world to collect and share data on plant diversity. The app uses artificial intelligence to identify plants from photos, and the data collected is used to create a global database of plant diversity. Pl@ntNet is free to use and is available in over 20 languages.

Retorio is a cutting-edge Behavioral Intelligence (BI) Platform that fuses machine learning with scientific findings from psychology and organizational research to ultimately take learning and development to a new level within organizations. At the core of Retorio’s capabilities are its AI-powered immersive video simulations. Through these engaging role-plays, learners using Retorio get to train and develop the necessary skills through realistic scenarios. Furthermore, the personalized, on-demand feedback learners receive allows for immediate behavior change and performance improvement. Retorio’s training platform transcends the limitation of scalability and redefines how individuals and teams train and develop, bringing talent development to a new dimension.

Siwalu is an AI-based image recognition tool that specializes in identifying animals. The website offers apps that provide specific information about the characteristics and traits of pets, helping pet owners determine the breed of their pets quickly and accurately. By using advanced AI technology, Siwalu aims to increase knowledge about global biodiversity by focusing on animal recognition for dogs, cats, and horses. The apps have garnered millions of downloads and are praised for their accuracy and user-friendly interface.

Signum.AI is a sales intelligence platform that uses artificial intelligence (AI) to help businesses identify customers who are ready to buy. The platform tracks key customer behaviors, such as social media engagement, job changes, product launches, and keyword mentions, to identify the best time to reach out to them. Signum.AI also provides personalized recommendations on how to approach each customer, based on their individual needs and interests.

Dog Identifier is an AI-based application that helps users identify over 170+ dog breeds by simply providing an image or video of a dog. The app predicts the breed of the dog and provides detailed information about characteristics, temperament, and history of the breed. Users can also search for their ideal furry companion by answering a few lifestyle-related questions. Additionally, the app features a comprehensive database of dog breeds, daily fun facts, and a new Dog Mood Detection feature that analyzes a dog's facial expressions and body language to suggest their mood.

Spot a Bot is an AI tool that estimates the number of bot accounts on Twitter by analyzing Twitter trends. Due to recent changes in Twitter's API policy, the tool is unable to provide daily trend analyses at the moment. Users can check today's trends, look for past trends, and choose trends from the UK, USA, or Germany. The tool boasts a model accuracy of 11% and has analyzed a total of 3,871 accounts and 158,540 tweets. Spot a Bot aims to help users identify and understand the prevalence of bot accounts on Twitter.

NeuProScan is an AI platform designed for the early detection of pre-clinical Alzheimer's from MRI scans. It utilizes AI technology to predict the likelihood of developing Alzheimer's years in advance, helping doctors improve diagnosis accuracy and optimize the use of costly PET scans. The platform is fully customizable, user-friendly, and can be run on devices or in the cloud. NeuProScan aims to provide patients and healthcare systems with valuable insights for better planning and decision-making.

Hire Hoc is an AI-powered hiring tool that helps businesses identify and interview only the top applicants. With features like AI shortlisting, one-way video interviews, and interview scheduling, Hire Hoc can help you streamline your hiring process and make better hiring decisions.

watchID is an AI-powered tool that allows users to identify any watch instantly by simply snapping a photo. It leverages the largest watch database to provide comprehensive information about the watch, including its story, reference number, and where to acquire it. watchID also offers a marketplace where users can browse and purchase watches from various sellers. Additionally, it fosters a community of watch enthusiasts where users can share discoveries, get insights, and connect with fellow enthusiasts.

Bichos ID de Fucesa is an AI tool that allows users to explore and identify insects, arachnids, and other arthropods using artificial intelligence. Users can discover the most searched bugs, explore new discoveries made by the community, and view curated organisms. The platform aims to expand knowledge about the fascinating world of arthropods through AI-powered identification.

Loki is an open-source tool designed to automate the process of verifying the factuality of information. It provides a comprehensive pipeline for dissecting long texts into individual claims, assessing their worthiness for verification, generating queries for evidence search, crawling for evidence, and ultimately verifying the claims. This tool is especially useful for journalists, researchers, and anyone interested in the factuality of information.

The 'Awesome AI Guidelines' repository aims to simplify the ecosystem of guidelines, principles, codes of ethics, standards, and regulations around artificial intelligence. It provides a comprehensive collection of resources addressing ethical and societal challenges in AI systems, including high-level frameworks, principles, processes, checklists, interactive tools, industry standards initiatives, online courses, research, and industry newsletters, as well as regulations and policies from various countries. The repository serves as a valuable reference for individuals and teams designing, building, and operating AI systems to navigate the complex landscape of AI ethics and governance.

Raga LLM Hub is a comprehensive evaluation toolkit for Language and Learning Models (LLMs) with over 100 meticulously designed metrics. It allows developers and organizations to evaluate and compare LLMs effectively, establishing guardrails for LLMs and Retrieval Augmented Generation (RAG) applications. The platform assesses aspects like Relevance & Understanding, Content Quality, Hallucination, Safety & Bias, Context Relevance, Guardrails, and Vulnerability scanning, along with Metric-Based Tests for quantitative analysis. It helps teams identify and fix issues throughout the LLM lifecycle, revolutionizing reliability and trustworthiness.

Distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency. It helps you synthesize data and provide AI feedback to improve the quality of your AI models. With Distilabel, you can: * **Synthesize data:** Generate synthetic data to train your AI models. This can help you to overcome the challenges of data scarcity and bias. * **Provide AI feedback:** Get feedback from AI models on your data. This can help you to identify errors and improve the quality of your data. * **Improve your AI output quality:** By using Distilabel to synthesize data and provide AI feedback, you can improve the quality of your AI models and get better results.

PyRIT is an open access automation framework designed to empower security professionals and ML engineers to red team foundation models and their applications. It automates AI Red Teaming tasks to allow operators to focus on more complicated and time-consuming tasks and can also identify security harms such as misuse (e.g., malware generation, jailbreaking), and privacy harms (e.g., identity theft). The goal is to allow researchers to have a baseline of how well their model and entire inference pipeline is doing against different harm categories and to be able to compare that baseline to future iterations of their model. This allows them to have empirical data on how well their model is doing today, and detect any degradation of performance based on future improvements.

Detoxify is a library that provides trained models and code to predict toxic comments on 3 Jigsaw challenges: Toxic comment classification, Unintended Bias in Toxic comments, Multilingual toxic comment classification. It includes models like 'original', 'unbiased', and 'multilingual' trained on different datasets to detect toxicity and minimize bias. The library aims to help in stopping harmful content online by interpreting visual content in context. Users can fine-tune the models on carefully constructed datasets for research purposes or to aid content moderators in flagging out harmful content quicker. The library is built to be user-friendly and straightforward to use.

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment interfaces and libraries for understanding AI systems. It empowers developers and stakeholders to develop and monitor AI responsibly, enabling better data-driven actions. The toolbox includes visualization widgets for model assessment, error analysis, interpretability, fairness assessment, and mitigations library. It also offers a JupyterLab extension for managing machine learning experiments and a library for measuring gender bias in NLP datasets.

MisguidedAttention is a collection of prompts designed to challenge the reasoning abilities of large language models by presenting them with modified versions of well-known thought experiments, riddles, and paradoxes. The goal is to assess the logical deduction capabilities of these models and observe any shortcomings or fallacies in their responses. The repository includes a variety of prompts that test different aspects of reasoning, such as decision-making, probability assessment, and problem-solving. By analyzing how language models handle these challenges, researchers can gain insights into their reasoning processes and potential biases.

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

Awesome Responsible AI is a curated list of academic research, books, code of ethics, courses, data sets, frameworks, institutes, newsletters, principles, podcasts, reports, tools, regulations, and standards related to Responsible, Trustworthy, and Human-Centered AI. It covers various concepts such as Responsible AI, Trustworthy AI, Human-Centered AI, Responsible AI frameworks, AI Governance, and more. The repository provides a comprehensive collection of resources for individuals interested in ethical, transparent, and accountable AI development and deployment.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

Yet Another Applied LLM Benchmark is a collection of diverse tests designed to evaluate the capabilities of language models in performing real-world tasks. The benchmark includes tests such as converting code, decompiling bytecode, explaining minified JavaScript, identifying encoding formats, writing parsers, and generating SQL queries. It features a dataflow domain-specific language for easily adding new tests and has nearly 100 tests based on actual scenarios encountered when working with language models. The benchmark aims to assess whether models can effectively handle tasks that users genuinely care about.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

DeepEval is a simple-to-use, open-source LLM evaluation framework specialized for unit testing LLM outputs. It incorporates various metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., and runs locally on your machine for evaluation. It provides a wide range of ready-to-use evaluation metrics, allows for creating custom metrics, integrates with any CI/CD environment, and enables benchmarking LLMs on popular benchmarks. DeepEval is designed for evaluating RAG and fine-tuning applications, helping users optimize hyperparameters, prevent prompt drifting, and transition from OpenAI to hosting their own Llama2 with confidence.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

This repository is a curated list of papers focused on the detection of Large Language Models (LLMs)-generated content. It includes the latest research papers covering detection methods, datasets, attacks, and more. The repository is regularly updated to include the most recent papers in the field.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

Analyzing content for biases (Based on the knowledge of the book "The Cognitive Biases Compendium" by Murat Durmus)

Analyzes and scores fictional texts for personality, Dark Triad traits, and biases.

Persuasive guide on biases, " Should be taught to all at a young age", inspired by Musk's advocacy.

Guides users through understanding cognitive biases and fallacies

I assist in idea validation with a curious and analytical approach against Biases , using visuals for clarity.

Expert in AI fairness, offering tailored advice and document insights.

An AI tool for reviewing written content for cultural sensitivity and accuracy.

Embark on a journey to navigate the complex landscape of AI ethics and fairness. In this game, you'll encounter real-world scenarios where your choices will determine the ethical course of AI development and its consequences on society. Another GPT Simulator by Dave Lalande

Multilingual analytical critic.

A helpful guide for understanding the paper "Artificial intelligence is ineffective and potentially harmful for fact checking"

Reliable News Fact-Checker and Analyst, delivering accurate news insights.

A dedicated, detail-oriented fact-checker for journalistic content.

Takes in any text and extracts the wisdom from it like you spent 3 hours taking handwritten notes.

FactCheck Navigator GPT is designed for in-depth fact checking and analysis of written content and evaluation of its source. The approach is to iterate through predefined and well-prompted steps. If desired, the user can refine the process by providing input between these steps.

Responsive and transparent in visualizing global news data.

Test ideas for cognitive biases or challenge your own views. Member of the Hipster Energy Team. https://hipster.energy/team

Detects and advises on cognitive biases in decision-making.

多元思维分析专家，深入解读人类认知和认知偏误。

Professional news analysis expert, verifying article authenticity with in-depth research and unbiased evaluation.

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