Best AI tools for< Ai Fairness Consultant >

Tribe AI is a modern consultancy specializing in AI, data, and machine learning, helping organizations leverage artificial intelligence. The platform offers bespoke AI solutions, advisory services, and GenAI acceleration to unlock the potential of cutting-edge technology. Tribe AI connects top AI talent with companies across various industries, such as healthcare, venture capital, insurance, private equity, and technology, to optimize operations and drive innovation. The platform also features a network of experienced AI researchers, data scientists, ML engineers, and AI fairness experts, ensuring high-quality and secure AI solutions for clients.

B-Bot is an innovative platform that empowers businesses and individuals to easily create and manage AI solutions. With a focus on accessibility and fairness, B-Bot streamlines the AI development process, making advanced technology available to everyone. Users can build their own Virtual Experts, train them, and profit from their capabilities. The platform also offers integration with various AI models and databases for enhanced functionality and automation. Join the B-Bot community to exchange ideas, network, and shape the future together.

Sapia.ai is an AI hiring agent that revolutionizes the recruitment process by conducting structured interviews with candidates, evaluating real skills, and providing valuable insights at scale. Trusted by leading brands, Sapia.ai streamlines hiring processes, enhances candidate experience, and improves hiring outcomes through AI-driven solutions. The platform offers features such as chat and video interviews, interview scheduling, talent insights, and candidate engagement tools. With a focus on speed, fairness, and diversity, Sapia.ai helps organizations find the right talent efficiently and effectively.

Faitness.io is an AI-powered platform that offers personalized workout plans tailored to individual fitness goals and preferences. By leveraging advanced machine learning algorithms and fitness science research, Faitness.io provides users with effective and safe workout routines. The platform covers a wide range of activities, including strength training, cardiovascular workouts, and flexibility training, suitable for users of all fitness levels. Faitness.io aims to revolutionize the fitness industry by making intelligent workouts accessible to everyone.

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.

Glider AI is an AI-powered platform that offers skills assessment, technical interviews, and recruitment solutions for enterprises, staffing firms, and system integrators. The platform helps in validating skills, confirming job fit, and scaling hiring processes across various industries. Glider AI provides features such as AI recruiting, AI-proctoring, text recruiting, phone screening, skill assessment software, interview software, and L&D software. It aims to streamline the recruitment process, improve candidate quality, and enhance the overall hiring experience.

Compassionate AI is a cutting-edge AI-powered platform that empowers individuals and organizations to create and deploy AI solutions that are ethical, responsible, and aligned with human values. With Compassionate AI, users can access a comprehensive suite of tools and resources to design, develop, and implement AI systems that prioritize fairness, transparency, and accountability.

EVA.ai is an AI-powered HR 4.0 platform that combines cognitive technologies to provide solutions for Talent Acquisition and Human Capital Management. It offers features such as Connectors to leverage legacy systems data, AI & Machine Learning for bias mitigation, Conversational AI for engaging HR use-cases, People Analytics for real-time insights, and Robotic Process Automation for workflow management. EVA.ai caters to use cases like high-volume recruitment, talent management, talent data collection, contingent workforce deployment, and recruitment automation. The platform ensures ethical, secure, and compliant AI for HR, promoting fairness, accountability, and transparency in decision-making processes.

CloudExam AI is an online testing platform developed by Hanke Numerical Union Technology Co., Ltd. It provides stable and efficient AI online testing services, including intelligent grouping, intelligent monitoring, and intelligent evaluation. The platform ensures test fairness by implementing automatic monitoring level regulations and three random strategies. It prioritizes information security by combining software and hardware to secure data and identity. With global cloud deployment and flexible architecture, it supports hundreds of thousands of concurrent users. CloudExam AI offers features like queue interviews, interactive pen testing, data-driven cockpit, AI grouping, AI monitoring, AI evaluation, random question generation, dual-seat testing, facial recognition, real-time recording, abnormal behavior detection, test pledge book, student information verification, photo uploading for answers, inspection system, device detection, scoring template, ranking of results, SMS/email reminders, screen sharing, student fees, and collaboration with selected schools.

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.

Rosalyn is an advanced online exam proctoring platform that offers a secure and reliable exam experience for students. It combines human decision-making with AI technology to detect and prevent cheating in real-time. Rosalyn prioritizes trust, fairness, and transparency to ensure a positive exam experience for all users. The platform is user-friendly, easy to use, and compliant with data privacy regulations like GDPR and BIPA. With features like proactive proctoring and advanced AI-powered analysis, Rosalyn is setting a new standard in online exam security.

Total Casino is one of the most popular online casinos in Poland, offering players a variety of games and attractive promotions. With a Curacao license, Total Casino ensures full security and fairness of games, making it a credible choice in the gambling market. The platform is available on both computers and mobile devices, allowing gaming anywhere. Total Casino regularly updates its game and bonus offerings, attracting new players and motivating existing users to continue playing.

ABC8 is a leading online betting platform in Asia, offering a wide range of high-quality and reputable betting options. With a diverse selection of over 1,000 engaging games from renowned developers, ABC8 provides players with a top-notch entertainment experience. The platform is licensed by PAGCOR and adheres to strict regulatory oversight, ensuring transparency and reliability in its betting services. ABC8 aims to become a premier betting destination, expanding its operations to Europe and America while prioritizing security, fairness, and player satisfaction.

The website is a platform that provides information about reliable betting sites in 2024. It offers access to current login addresses for various betting companies. Users can find details about bonuses, payment methods, sports betting options, casino games, live betting, and mobile compatibility. The site emphasizes the importance of choosing reliable and licensed casino sites. It also covers topics such as welcome bonuses, game fairness, payment security, and bonus terms and conditions. Additionally, it discusses strategies like the Reverse Martingale and card counting in blackjack. The platform aims to guide users in making informed decisions while engaging in online betting and casino activities.

CoGrader is an AI Essay Grader tool that helps teachers provide quality feedback on essays in 80% less time. It leverages Artificial Intelligence (AI) to streamline the grading process, saving hours or days for teachers. CoGrader ensures fairness and consistency by removing human biases from grading and provides lightning-fast comprehensive feedback to students. The tool integrates with Google Classroom, Canvas, and Schoology, allowing teachers to import assignments, grade them, and export feedback back to the platforms with ease. CoGrader is designed to assist educators in grading essays efficiently and effectively, ultimately enhancing the teaching and learning experience.

Turnitin is an AI writing detection tool designed to empower students to produce original work while upholding academic integrity. It helps educators detect AI-generated content in student submissions, provides actionable feedback, and ensures the authenticity of academic work. Turnitin offers a range of solutions for different education levels and research needs, with a focus on promoting honesty, consistency, and fairness in the global education community.

Braintrust is an innovative user-owned talent network for companies, offering an all-in-one hiring solution with AI capabilities. The platform connects top tech, design, and marketing talent with leading enterprises, saving time and money for both clients and talent. Braintrust ensures quality by curating top-tier professionals and using AI to instantly match clients with the best candidates. With a focus on transparency and fairness, Braintrust empowers talent to keep 100% of their earnings and have control over the network through the BTRST token. The platform aims to revolutionize the future of work by providing a reliable and efficient marketplace for talent and companies to collaborate.

Character.ai is a website that offers a variety of AI-powered characters that can help you with a variety of tasks, from creative writing to brainstorming to language learning. The characters are designed to be helpful and engaging, and they can provide you with personalized assistance based on your needs. Character.ai is a great resource for anyone who wants to explore the potential of AI and see how it can be used to improve their lives.

CrushOn.AI is a NSFW character AI chat where you can create and chat with your own custom AI characters. With our advanced AI technology, you can create characters that are truly unique and lifelike. You can choose their appearance, personality, and even their sexual preferences. Once you've created your character, you can chat with them about anything you want. They'll respond in a realistic and engaging way, and they'll even learn from your conversations. CrushOn.AI is the perfect way to explore your fantasies and have some fun with AI.

Leonardo AI is a powerful AI-powered platform that provides a suite of tools for creating stunning visual assets, including images, 3D textures, and more. With its user-friendly interface and advanced AI models, Leonardo AI makes it easy for users of all skill levels to create high-quality content quickly and efficiently. The platform also offers a large and supportive community of users, making it a great place to learn and share ideas.

Fairlearn is a Python package designed to help developers assess and mitigate fairness issues in artificial intelligence (AI) systems. It provides mitigation algorithms and metrics for model assessment. Fairlearn focuses on two types of harms: allocation harms and quality-of-service harms. The package follows the group fairness approach, aiming to identify groups at risk of experiencing harms and ensuring comparable behavior across these groups. Fairlearn consists of metrics for assessing model impacts and algorithms for mitigating unfairness in various AI tasks under different fairness definitions.

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.

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.

The 100 Days in AI repository provides a comprehensive roadmap for individuals to learn Artificial Intelligence over a period of 100 days. It covers topics ranging from basic programming in Python to advanced concepts in AI, including machine learning, deep learning, and specialized AI topics. The repository includes daily tasks, resources, and exercises to ensure a structured learning experience. By following this roadmap, users can gain a solid understanding of AI and be prepared to work on real-world AI projects.

LangTest is a comprehensive evaluation library for custom LLM and NLP models. It aims to deliver safe and effective language models by providing tools to test model quality, augment training data, and support popular NLP frameworks. LangTest comes with benchmark datasets to challenge and enhance language models, ensuring peak performance in various linguistic tasks. The tool offers more than 60 distinct types of tests with just one line of code, covering aspects like robustness, bias, representation, fairness, and accuracy. It supports testing LLMS for question answering, toxicity, clinical tests, legal support, factuality, sycophancy, and summarization.

AI-PhD-S24 is a mono-repo for the PhD course 'AI for Business Research' at CUHK Business School in Spring 2024. The course aims to provide a basic understanding of machine learning and artificial intelligence concepts/methods used in business research, showcase how ML/AI is utilized in business research, and introduce state-of-the-art AI/ML technologies. The course includes scribed lecture notes, class recordings, and covers topics like AI/ML fundamentals, DL, NLP, CV, unsupervised learning, and diffusion models.

AI-PhD-S25 is a mono-repo for the DOTE 6635 course on AI for Business Research at CUHK Business School. The course aims to provide a fundamental understanding of ML/AI concepts and methods relevant to business research, explore applications of ML/AI in business research, and discover cutting-edge AI/ML technologies. The course resources include Google CoLab for code distribution, Jupyter Notebooks, Google Sheets for group tasks, Overleaf template for lecture notes, replication projects, and access to HPC Server compute resource. The course covers topics like AI/ML in business research, deep learning basics, attention mechanisms, transformer models, LLM pretraining, posttraining, causal inference fundamentals, and more.

Awesome Green AI is a curated list of resources and tools aimed at reducing the environmental impacts of using and deploying AI. It addresses the carbon footprint of the ICT sector, emphasizing the importance of AI in reducing environmental impacts beyond GHG emissions and electricity consumption. The tools listed cover code-based tools for measuring environmental impacts, monitoring tools for power consumption, optimization tools for energy efficiency, and calculation tools for estimating environmental impacts of algorithms and models. The repository also includes leaderboards, papers, survey papers, and reports related to green AI and environmental sustainability in the AI sector.

Holistic AI is an open-source library dedicated to assessing and improving the trustworthiness of AI systems. It focuses on measuring and mitigating bias, explainability, robustness, security, and efficacy in AI models. The tool provides comprehensive metrics, mitigation techniques, a user-friendly interface, and visualization tools to enhance AI system trustworthiness. It offers documentation, tutorials, and detailed installation instructions for easy integration into existing workflows.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

The repository 'LLM-for-Healthcare' provides a comprehensive survey of large language models (LLMs) for healthcare, covering data, technology, applications, and accountability and ethics. It includes information on various LLM models, training data, evaluation methods, and computation costs. The repository also discusses tasks such as NER, text classification, question answering, dialogue systems, and generation of medical reports from images in the healthcare domain.

Awesome-Efficient-LLM is a curated list focusing on efficient large language models. It includes topics such as knowledge distillation, network pruning, quantization, inference acceleration, efficient MOE, efficient architecture of LLM, KV cache compression, text compression, low-rank decomposition, hardware/system, tuning, and survey. The repository provides a collection of papers and projects related to improving the efficiency of large language models through various techniques like sparsity, quantization, and compression.

Prometheus-Eval is a repository dedicated to evaluating large language models (LLMs) in generation tasks. It provides state-of-the-art language models like Prometheus 2 (7B & 8x7B) for assessing in pairwise ranking formats and achieving high correlation scores with benchmarks. The repository includes tools for training, evaluating, and using these models, along with scripts for fine-tuning on custom datasets. Prometheus aims to address issues like fairness, controllability, and affordability in evaluations by simulating human judgments and proprietary LM-based assessments.

The Next-Generation LLM-based Recommender Systems Survey is a comprehensive overview of the latest advancements in recommender systems leveraging Large Language Models (LLMs). The survey covers various paradigms, approaches, and applications of LLMs in recommendation tasks, including generative and non-generative models, multimodal recommendations, personalized explanations, and industrial deployment. It discusses the comparison with existing surveys, different paradigms, and specific works in the field. The survey also addresses challenges and future directions in the domain of LLM-based recommender systems.

The Korean SAT LLM Leaderboard is a benchmarking project that allows users to test their fine-tuned Korean language models on a 10-year dataset of the Korean College Scholastic Ability Test (CSAT). The project provides a platform to compare human academic ability with the performance of large language models (LLMs) on various question types to assess reading comprehension, critical thinking, and sentence interpretation skills. It aims to share benchmark data, utilize a reliable evaluation dataset curated by the Korea Institute for Curriculum and Evaluation, provide annual updates to prevent data leakage, and promote open-source LLM advancement for achieving top-tier performance on the Korean CSAT.

This repository contains a curated list of resources on generative information retrieval, including research papers, datasets, tools, and applications. Generative information retrieval is a subfield of information retrieval that uses generative models to generate new documents or passages of text that are relevant to a given query. This can be useful for a variety of tasks, such as question answering, summarization, and document generation. The resources in this repository are intended to help researchers and practitioners stay up-to-date on the latest advances in generative information retrieval.

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

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

Guides on mitigating bias and fairness in AI.

Accountable AI represents a step forward in creating a more ethical, transparent, and responsible AI system, tailored to meet the demands of users who prioritize accountability and unbiased information in their AI interactions.

Facilitates mediation processes using AI to suggest fair compromises in legal disputes, informed by similar cases and outcomes.

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