Ethical AI refers to the design, development, and implementation of artificial intelligence systems that prioritize fairness, transparency, accountability, and societal benefit. It involves ensuring AI technologies respect human rights, avoid biases, maintain user privacy, and are used for positive purposes. Ethical AI also entails robust mechanisms for oversight and regulation, as well as ongoing evaluation of AI systems to mitigate potential risks and maximize their contributions to society while minimizing harm.
considerations
The main considerations in developing ethical AI encompass ensuring fairness and avoiding biases in algorithms, maintaining transparency in how AI systems make decisions, protecting user privacy and data security, fostering accountability for AI outcomes, addressing potential job displacement and societal impacts, establishing clear regulatory frameworks, and promoting collaboration across disciplines to prioritize human values and well-being in the deployment of artificial intelligence technologies.
Ethical Ai & Cyber Security
Ethical AI and cybersecurity are interconnected in several ways. Ethical AI practices are essential for ensuring that AI systems are secure and trustworthy, as issues such as biased algorithms or lack of transparency can create vulnerabilities. Protecting AI systems from cyber threats is crucial to prevent malicious actors from exploiting them for harmful purposes. Additionally, cybersecurity measures such as data encryption and access controls are necessary to safeguard the sensitive information used in AI algorithms. Ethical considerations in AI development also overlap with cybersecurity ethics, emphasizing the importance of responsible data handling, secure coding practices, and transparency in cybersecurity operations. Both fields share the goal of promoting trust, integrity, and resilience in technology systems for the benefit of individuals and society as a whole.
Ethical Framework
EU Ethical Act 2025
Foundations
The EU's approach to ethical AI is based on several key foundations, primarily outlined in the "Ethics Guidelines for Trustworthy AI" published by the European Commission's High-Level Expert Group on Artificial Intelligence (AI HLEG).
Collaboration
Common Interest
We propose a collaborative effort between companies to establish a comprehensive framework for ethical AI, leveraging collective expertise and diverse perspectives. By pooling resources and insights, we can develop guidelines that prioritize fairness, transparency, privacy, and accountability in AI systems. This collaboration will not only ensure that our technologies align with societal values and legal standards but also foster innovation and trust among consumers and stakeholders. Together, we can lead the way in responsible AI development, setting industry benchmarks and promoting a sustainable and inclusive digital future.
Missions
Belgium Estonia Romania Ireland Greece
Active collaborations between Belgium, Estonia, Romania, Ireland, and Greece are fostering a dynamic exchange of expertise and resources in their respective active missions. Belgium's sustainability initiatives benefit from Estonia's digital governance expertise, while Romania's healthcare advancements draw from Ireland's agricultural innovation. Greece, with its focus on tourism and cultural heritage, finds synergies with Belgium's green infrastructure projects. These collaborations create a rich tapestry of shared knowledge, propelling forward initiatives that promote sustainability, healthcare innovation, agricultural modernization, and cultural preservation across these European nations.
about us
arikami is an initiative of Cognity Computing and Security Labs. Combining the experience and knowledge gathered after years of developing robust and human centric solutions, arikami is a new entity to foster a safe set of foundations for the future of AI
Hi...
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Proin diam justo, scelerisque non felis porta, placerat vestibulum nisi. Vestibulum ac elementum massa. In rutrum quis risus quis sollicitudin. Pellentesque non eros ante. Vestibulum sed tristique massa. Quisque et feugiat risus, eu tristique felis. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Nulla facilisi. Pellentesque varius ipsum in urna semper volutpat. Etiam ac magna scelerisque, sodales enim at, interdum nibh. Nulla nec blandit orci. Ut suscipit sollicitudin varius. Etiam ut bibendum purus, sit amet tristique lectus
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Proin diam justo, scelerisque non felis porta, placerat vestibulum nisi. Vestibulum ac elementum massa. In rutrum quis risus quis sollicitudin. Pellentesque non eros ante. Vestibulum sed tristique massa. Quisque et feugiat risus, eu tristique felis. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Nulla facilisi. Pellentesque varius ipsum in urna semper volutpat. Etiam ac magna scelerisque, sodales enim at, interdum nibh. Nulla nec blandit orci. Ut suscipit sollicitudin varius. Etiam ut bibendum purus, sit amet tristique lectus
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Proin diam justo, scelerisque non felis porta, placerat vestibulum nisi.
