Our goal is to harness the enormous potential of AI for the benefit of humanity and to advance its knowledge, delivering products designed to meet the following requirements:
1. Energetic efficiency: Our goal is to develop AI models and algorithms that are more energy-efficient in order to reduce their environmental impact. This includes, among others, techniques such as model compression, algorithm design and optimization, machine learning, data analysis and verification, and AI-oriented hardware design.
2. Sustainable Design: We will explore how to ensure that AI design takes environmental issues into account, including the development of hardware and software that minimize the carbon footprint without overlooking functional and performance requirements. We will also investigate how to make AI more robust against misuse and other vulnerabilities. In addition, we will study how to make AI more accurate, reducing mistrust and the potential for discrimination.
3. Data Governance: We will study how to establish robust data governance to ensure that personal information collected and processed by AI is handled securely and in compliance with regulations.
4. Transparency and explainability: Transparency and Explainability: We will develop AI that promotes transparency, providing clear information on how data is collected, processed, and used, as well as on the decisions made by AI systems. In addition, we will investigate the design and development of mechanisms that explain how predictions and recommendations are generated, so that users can understand and trust the outcomes delivered by artificial intelligence.
5. Cibersecurity: We will investigate the design and development of robust cybersecurity mechanisms to protect AI systems against threats such as hackers, malware, and adversarial attacks.