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	<title>Wiki for Sustainable IT - User contributions [en]</title>
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	<updated>2026-08-20T06:43:07Z</updated>
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		<id>https://en.wiki.isit-europe.org/index.php?title=Responsible_AI&amp;diff=9</id>
		<title>Responsible AI</title>
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		<updated>2026-08-05T21:28:05Z</updated>

		<summary type="html">&lt;p&gt;Maintenance script: Creation of the Responsible AI page&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Responsible AI&#039;&#039;&#039; refers to the design, deployment and use of artificial intelligence systems that are human-centred and human-controlled, trustworthy, inclusive, non-discriminatory and environmentally responsible.&lt;br /&gt;
&lt;br /&gt;
== Definition ==&lt;br /&gt;
&lt;br /&gt;
The rapid spread of generative AI has brought these systems into the everyday operation of organisations. Responsible AI addresses this by setting requirements across the whole lifecycle of a system: choice of use case, training data, transparency, human oversight and environmental footprint.&lt;br /&gt;
&lt;br /&gt;
The Institut du Numérique Responsable has formalised this approach in its &#039;&#039;&#039;AI Charter&#039;&#039;&#039;, which complements the Responsible Digital Charter and aligns with the European AI Act.&lt;br /&gt;
&lt;br /&gt;
== The four principles of the AI Charter ==&lt;br /&gt;
&lt;br /&gt;
=== 1. AI at the service of humanity ===&lt;br /&gt;
&lt;br /&gt;
* Develop AI that strengthens the central role of employees while extending their capabilities&lt;br /&gt;
* Build uses together with staff, through social dialogue and feedback&lt;br /&gt;
* Train personnel in the proper use of AI and its impacts&lt;br /&gt;
* Respect autonomy at work, the quality of social interaction and the meaning of work&lt;br /&gt;
* Include respect for international treaties protecting human rights, democracy and the rule of law in procurement specifications&lt;br /&gt;
&lt;br /&gt;
=== 2. Inclusive and ethical AI ===&lt;br /&gt;
&lt;br /&gt;
* Respect equity, diversity and non-discrimination&lt;br /&gt;
* Put in place mechanisms ensuring data quality and preventing gender, ethnic or religious bias&lt;br /&gt;
* Organise responses to discrimination arising from biased data&lt;br /&gt;
* Make AI-based digital services accessible to people with disabilities&lt;br /&gt;
&lt;br /&gt;
=== 3. Trustworthy AI ===&lt;br /&gt;
&lt;br /&gt;
* Inform users that they are interacting with an AI system, and disclose data sources&lt;br /&gt;
* Explain how the algorithms work in a clear and accessible way&lt;br /&gt;
* Ensure human oversight of high-risk activities&lt;br /&gt;
* Strengthen system robustness against cyberattacks&lt;br /&gt;
&lt;br /&gt;
=== 4. Eco-responsible AI ===&lt;br /&gt;
&lt;br /&gt;
* Verify that the use case is genuinely useful before any deployment&lt;br /&gt;
* Favour &#039;&#039;&#039;frugal AI&#039;&#039;&#039; models with efficient resource usage&lt;br /&gt;
* Measure and minimise the environmental footprint across the system lifecycle&lt;br /&gt;
* Apply eco-responsible practices to both training and deployment&lt;br /&gt;
&lt;br /&gt;
== Signing ==&lt;br /&gt;
&lt;br /&gt;
The AI Charter may be signed by any public or private organisation, either on its own or together with the Responsible Digital Charter.&lt;br /&gt;
&lt;br /&gt;
== External references ==&lt;br /&gt;
&lt;br /&gt;
* [https://charter.isit-europe.org/charte-ia/?lang=en_GB AI Charter — Institut du Numérique Responsable]&lt;/div&gt;</summary>
		<author><name>Maintenance script</name></author>
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