The willingness and commitment of leaders are essential to making ethics a growth lever. Responsible AI must be integrated as a differentiator, enabling the maintenance of trust and the sustainability of activities
AI revolutionizes customer relations with innovative technologies like chatbots, recommendation engines, and predictive analytics. However, these advances raise critical issues around trust, privacy, and ethics. Ms. Muriel Moënza, Head of Data AI Compliance at Orange Business, shares her vision on how AI can be both personalized, compliant, ethical, and a driver of sustainable growth.
Can AI build customer trust?
AI makes customer interactions more fluid and personalized, with real-time engagement and targeted messaging. Solutions like voice and chatbots or natural language analysis enrich the experience. But this personalization must strike a balance: avoid overload and preserve customer control. Limiting data collection to the essentials is vital to ensure a respectful, masterful relationship.
What are th key characteristics of trustworthy AI?
A trustworthy AI must adhere to seven principles derived from regulation: privacy, fairness, accessibility, robustness, clear responsibility, human oversight, and positive social/ environmental impact. It should operate in a secure environment, with well-defined accountability. Transparency, human control, and commitment to societal good are essential to inspire confidence.
What ethical concerns are raised by the development and use of IA?
AI ethics go beyond morality or deontology; they are about regulation keeping pace with rapid innovation. As Cédric Villani notes, «We code much faster than we legislate.» Companies must align with their values, embedding ethics into their strategy as a commercial asset rather than a constraint. Pragmatic approaches define fair objectives and optimize benefits/ risks, especially given the low profitability of many generative AI projects.
Can trustworthy AI anticipate its impacts?
Regulation offers an opportunity to frame AI use and anticipate positive or negative effects. Respecting the seven principles helps avoid many pitfalls. Orange Business engages in initiatives like Impact AI and Hub France IA, holding labels like GEEIS-AI and Positive AI, demonstrating its commitment to ethical, inclusive AI. Gradual implementation of these principles within the company ensures compliance and builds trust.
How does Orange support clients in ethical data use?
Orange pioneered responsible governance with an internal AI ethics charter, well before regulation. Its «Responsible AI by Design» and «Privacy by Default» frameworks ensure data quality, bias management, and ethical use. Before product launch, a multidiscipli nary ethics committee assesses risks and compliance. Experts in data and AI, through Sofrecom and Digital Services France, assist clients in their transformation, ensuring principles are upheld throughout project lifecycles.
How to raise awareness among stakeholders about trust in personalization?
Regulations vary globally: the US favors deregulation, China emphasizes strict control, and Africa promotes SME growth. The European approach balances regulation and innovation, promoting responsible AI. Engagement requires two key axes: financial, with European investments supported by programs like «Embrace AI,» and values, by integrating ethics into corporate strategy. The core question: «Who are we, and what do we want for a sustainable future?»
How to avoid bias and discrimination in algorithms?
The misconception that AI is inherently neutral is false. It reflects biases in training data. To mitigate this, diverse, representative samples covering social, gender, and ethnic variations are necessary. Orange’s «Responsible AI by Design» principle incorporates bias detection and correction mechanisms from inception. Regular testing and strict criteria ensure model integrity, preventing discriminatory effects.
What are the best practices in AI governance ?
Effective governance limits sensitive data use and ensures protection. Working in a secure or sovereign environment is crucial. Leadership commitment is vital to make ethics a competitive advantage, maintaining trust and sustainability. Transparency, clear documentation of AI capabilities and limits, and ongoing monitoring are essential.
Is compliance and digital trust a competitive dge?
Sofrecom Integrating compliance and trust into the company’s strategy can become a true differentiator. Orange demonstrates that regulation should not hinder innovation but rather guide it. When personalization is transparent and consented to, it strengthens the customer relationship. Trust is built on transparency, clear explanations of data usage, and respect for consent. These elements become assets for customer loyalty and for differentiating the offering in an increasingly demanding market.
Uses cases: responsables des solutions at Orange
Orange offers solutions hosted in France, on trusted infrastructures, ensuring data security and sovereignty. Carbon neutrality is also a priority, with a goal for net-zero emissions by 2040, including carbon footprint indices in processes. Over the past 18 months, about 100 projects were evaluated, 40% of which at high risk, requiring increased vigilance. Training thousands of employees in responsible AI and preparing for ISO 42001 certification in 2026 exemplify Orange’s commitment to ethical, reliable, and sustainable AI.
Artificial intelligence offers immense potential to improve customer relationships while posing ethical and regulatory challenges. Ms. Muriel Moënza emphasizes that the key lies in a responsible approach, integrating transparency, human oversight, and respect for values. Regulation, far from being a barrier, can become a lever to strengthen trust and differentiate the offering. By adopting rigorous governance and placing ethics at the heart of their strategy, companies can leverage AI while respecting their social and environmental commitments. The path to trustworthy AI is therefore both a necessity and an opportunity to build a sustainable future.
