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The 7 guiding principles of ethical AI

Businesses are beginning to establish a foundation for the ethical use of this emerging technology, despite the ambiguity surrounding the precise impact of artificial intelligence on the world. SAP, a software corporation, was among the first to establish an AI ethics code.

Naturally, AI, like any other instrument, has the potential to be employed for the betterment of humanity or for the worse. The purpose of these seven guiding principles is to assist HR and business executives in adopting AI:

1. Be motivated by your principles. The deployment of AI should be influenced by your corporate philosophy and dedication to your principles.

Regarding SAP, “We will make every effort to prevent the inappropriate use of our technology in situations where our principles are violated.”

2. Develop AI with the human in mind. Pay attention to the feedback of your consumers. Improving user experience is the first step in enabling technology to empower individuals to become better.

The company stated that in order to accomplish this, they collaborate with consumers in a multidisciplinary, demographically diverse, and collaborative environment to design their systems.

3. Dissociate yourself from your prejudice. Utilize AI to assist you in identifying trends and patterns in data that you may have previously overlooked and to gain a clear understanding of your business.

SAP’s Business Beyond Bias products provide you with this insight and assist you in avoiding potential business obstacles.

4. Make an effort to maintain transparency and integrity in all of your endeavors. It is imperative that you communicate the use of AI in a clear and comprehensive manner in order to establish trust with your customers and employees.

SAP stated that our systems are subject to specific standards that are determined by their intended usage and technical capabilities. “We offer customers and users the ability to monitor and regulate our services.”

5. Maintain safety and quality standards. AI is a tool that is enhanced by extensive experimentation.

SAP suggests that AI-powered software undergo comprehensive quality assessments in real-world scenarios to ensure that they are suitable for their intended purpose and that the product specifications are satisfied.

6. Maintain privacy and data protection. It is imperative that businesses maintain transparency with their consumers regarding the manner, rationale, location, and timing of the utilization of their data in an AI system.

SAP collaborates with academics to develop the next iteration of privacy-enhancing tools and methods.

7. Engage with the broader societal challenges of AI. A diverse array of stakeholders are impacted by the AI discourse, which spans a variety of industries and institutions.

SAP stated that, “Although we have a significant degree of control over the aforementioned areas,” there are a multitude of emergent challenges that necessitate a much more comprehensive dialogue across industries, disciplines, borders, and cultural, philosophical, and religious traditions.