Key points on in-house software development Vibe coding makes software development accessible to all profiles, including non-technical users. Developing software internally (through a dedicated IT team or vibe coding) transfers responsibilities...
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All our articles on Artificial intelligence
Artificial intelligence is profoundly transforming digital practices, business processes and corporate regulatory frameworks. Between generative AI, automated decision-making, deepfakes and the new obligations introduced by the European AI Act, organisations must now reconcile innovation, risk management and digital trust.
Through this category, Evidency explores the key challenges surrounding artificial intelligence: regulatory compliance, stakeholder accountability, cybersecurity, data reliability, proof of human intervention and the fight against digital manipulation. Our articles examine the concrete impact of AI on businesses and highlight the mechanisms that ensure the integrity, traceability and legal admissibility of digital evidence in an increasingly automated environment.
Drawing on technical, legal and operational expertise, discover how trust services, timestamping, electronic sealing and evidential archiving, form essential pillars for building trustworthy AI, securing digital practices and meeting the requirements of emerging European regulations.
Adopting Artificial Intelligence in the workplace: a practical guide to responsible AI adoption
Key takeaways on AI in business AI in business should be regarded as an assistive tool rather than an autonomous decision-maker. Any decision involving data, customers or regulatory considerations should remain subject to human oversight. The...
Interview: Is trustworthy AI possible?
Key takeaways of this interview: Trust in AI is not limited to the quality and lawfulness of training data. Above all, it requires effective capabilities for evaluating, testing and monitoring systems and their uses. The availability and quality of...