Cognito srl was founded in 2013 and joined in 2022 by a team of experts in cognitive science, computer science, artificial intelligence, and ethics, who share a common vision of creating a more fair, transparent, and trustworthy digital society.
Cognito srl offers a range of services and solutions to help organisations and individuals identify, measure, mitigate, and prevent bias in their data, algorithms, systems, and decisions, using state-of-the-art methods, techniques, tools, and practices.
Cognito srl also conducts cutting-edge research and innovation projects on bias detection, correction, and prevention, in collaboration with academic, industrial, and public partners.
Cognito srl's mission is to provide high-quality, reliable, and ethical bias auditing and consulting services, and to contribute to the advancement of knowledge and awareness on bias in human beings, IT systems, and AI systems.
Cognito srl's vision is to become a leading and trusted partner for bias auditing and consulting in Italy and Europe, and to promote a culture of fairness, transparency, and accountability in the digital society.
Senior executive
Analyst and strategist in digital innovation and public policy
International Expert on Digital Governance, Strategic Foresight and Technology Diplomacy
international researcher and policy advisor
Teacher Human Resource Management at University of Tuscia
Professor of economic policy at the University of Siena
European University Cyprus , Department of Computer Sciences and Engineering - adjunct professor
Master's degree in social sciences (University of Bremen) with specialization in EU vocational education and training policies
Bias is the significant adversary of modern society, leading to unfairness, discrimination, and harm in various domains, including education, health, justice, and politics. It affects human beings, IT systems, and AI systems differently based on sources, types, contexts, and impacts.
Bias in human beings stems from personal characteristics, experiences, beliefs, emotions, stereotypes, or heuristics. It influences perception, interpretation, judgment, or actions on information, often unconsciously. This can result in errors, inconsistencies, prejudices, or discriminations in domains such as education, employment, health, justice, or politics.
Bias in IT systems originates from design, development, deployment, or use, including hardware, software, data, algorithms, interfaces, or users. It affects how systems process, store, transmit, or present information due to technical limitations, errors, or assumptions. This can lead to inefficiencies, inaccuracies, vulnerabilities, or harms in applications like communication, computation, security, or entertainment.
Bias in AI systems arises from data, algorithms, outputs, impacts, or governance. This includes quality, quantity, diversity, representation, or interpretation of data; complexity, transparency, explainability, or accountability of algorithms; functionality, accuracy, reliability, or security of outputs; and benefits, costs, risks, or liabilities of impacts. Standards, regulations, or ethics of governance also play a role. Bias in AI systems influences learning, reasoning, decision-making, or actions on information, often due to algorithmic limitations, errors, or biases. This can lead to unfairness, discrimination, or harm in domains such as healthcare, finance, education, or social media.
An AI audit can identify and address issues, gaps, or errors that may affect functionality, accuracy, reliability, or security. For example, it helps detect and correct data quality problems, algorithmic biases, or ethical violations.
An AI audit helps demonstrate your AI systems' value and trustworthiness to customers, partners, regulators, and investors. Showcase alignment with industry best practices, standards, and regulations, along with capabilities, benefits, and impacts on business objectives and social responsibility.
An AI audit ensures compliance, transparency, accountability, and fairness, helping mitigate legal, ethical, or reputational risks. Identify and address potential risks arising from AI systems' use or misuse, and establish clear roles, responsibilities, and processes for development, deployment, and monitoring.
An AI audit provides numerous advantages and opportunities to enhance AI systems and business performance. It helps gain a competitive edge and a positive reputation in the market. Embrace an AI audit as a valuable and beneficial process for your organization.
Cognito srl offers a comprehensive range of services and solutions to assist organizations and individuals in identifying, measuring, mitigating, and preventing bias in their data, algorithms, systems, and decisions.
We employ state-of-the-art methods, techniques, tools, and practices to ensure the highest standards in addressing bias challenges.
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