It’s never been more important to understand the full guidebook to a new technology to benefit from its potential, but with AI, this is inevitable. Astonishing technology is one thing, but what is crucial here goes beyond AI: While the world watches in awe what potential the still new technology comes with, companies have understood that a 360° view on all aspects of AI is needed to enjoy its advantages.
Opportunities are huge, and we can surely expect that many challenges we faced over recent years may be solved quicker thanks to AI – just think of medical progress and responses to climate change.
Given the fact that AI is so powerful, the rules and regulations that come with it play a key role: Ethics and associated positive manners have rarely been sought after as intensely as they are now. Any associated inventions, products or services must follow the idea of Responsible AI to have a chance to sustain. It is remarkable that even great contributors such as OpenAI-CEO Sam Altmann call for regulation given the potential of AI technology – though even they understand that rules must apply.
Discover the relationship between Artificial Intelligence and data protection with our Digital Ethics Framework. Navigating the challenges of ethical AI and personal rights protection, we overlook no detail.
Our framework encourages businesses to integrate the latest technologies with ethical standards, creating AI solutions that safeguard your reputation and bolster business engagement. In an age where corporate values significantly shape customer trust, join us in crafting responsible and trustworthy AI solutions.
Your steps towards implementing the basis for the AI Act into your company governance to enable employees to translate ethics into AI systems.
Discover our Responsible AI approach!
Comprehensive overview of AI use cases, stakeholders engaged, and the Sector in which the systems operate.
Comprehensive overview of AI use cases, stakeholders engaged, and the sectors in which the systems operate.
Clusters of AI systems categorized by risk and specific requirements.
Clusters of AI systems categorized by risk and specific requirements.
User-centric tools and methods crafted to facilitate the ethical implementation of AI systems.
User-centric tools and methods crafted to facilitate the ethical implementation of AI systems.
Mitigated risks of reputational harm and liability through provision of tools and methodologies that ensure AI trustworthiness.
Mitigated risks of reputational harm and liability through provision of tools and methodologies that ensure AI trustworthiness.
of millennials are more likely to buy products from ethical companies.
Trustworthy products drive strong relationships.of consumers claim zero tolerance when it comes to infractions of ethical corporate conducts
An ethical failure can break a brands reputation.of people working on or with AI have experienced decisions, that could lead to negative consequences for people or society.
AI workers need practical and hands on support.
of employees who were ethically concerned about the AI left their company as a result.
Talents might churn, if not supported sufficiently.
Stay updated with Deutsche Telekom’s AI podcast, that brings you weekly insights from the AI world. Our AI Ethics Expert Isabell Neubert talks on the topic ‘From AI Act to “AI for Good”: “AI can be an attractive field of activity to build a better world”‘ (podcast in German language)
Unveil the secrets to building AI that stands on the pillars of ethics, compliance, and robustness. We empower businesses to construct AI solutions that not only push the boundaries of innovation but do so responsibly.
Explore our commitment to ethical AI, guiding businesses through the intricate landscape of responsible technology integration.
Ready to redefine your AI strategy? Watch the video and let’s embark on a path to ethical, compliant, and robust AI solutions!
In-house compliance processes are often considered static, complex, and time-consuming. If intelligently anchored, however, the compliance division plays a key role in promoting data-driven innovation effectively and in conformity with statutory regulations.
European companies oriented to technology often labor under the perception that the laws, standards, and rules relating to data protection and security are a barrier to extensive innovation. One commonly expressed opinion is that the strict laws in these areas are causing Europe to fall far behind China and America….-
