Bias and Discrimination
GAIA is committed to identifying and correcting for flaws and biases in data and algorithms that can lead to discriminatory decisions, ensuring that AI solutions are accurate and fair, and do not perpetuate existing biases.
Privacy and Data Protection
GAIA addresses the challenge of developing AI solutions that respect user privacy while ensuring that data is protected from misuse or unauthorized access.
Transparency and Explainability
Many AI systems operate as “black boxes,” making it difficult for users to understand how decisions are made. GAIA works in making algorithms more transparent and understandable so that users can have confidence in the decisions made by machines by understanding the criteria behind them.
Human and environmental sustainability
GAIA provides assessments of the social, human and environmental sustainability of an AI system. This means assessing the impact of the AI system and its use in a work environment on workers, on the relationship between workers and employers, and on skills (at risk or new demands). It means assessing the amount of energy used by the system, its economic costs and carbon emissions. GAIA provides such assessments as well as cutting-edge alternative measures for sustainable management and production of AI systems.
FRIA - Fundamental Rights impact Assessment
GAIA provides assessment of the impact of AI systems on fundamental rights, thus ensuring a key component of legal compliance: through FRIA, GAIA helps organizations to take their decisions in full awareness of the potential negative impacts of their envisaged AI systems and of ways to mitigate them in order to protect fundamental rights.
