The article AI guidelines in companies: Need and content from Carsten Lexa first appeared on Basic Thinking. You always stay up to date with our newsletter.
Artificial intelligence will change the company world profoundly. But like any technological progress, AI also brings challenges. Is that why do AI guidelines in companies need?
AI guidelines can not only be only bureaucratic regulations for companies, but also a control instrument to use AI responsibly and efficiently. Three main reasons speak for the introduction of such guidelines, whereby it must be considered that employees in particular have to know and understand what is allowed in terms of AI and what is not. In this respect, there is a parallel Social media guidelinesthat meet a comparable purpose:
AI guidelines in the company-for a uniform and transparent handling
Without clear guidelines, “Wild West situations” can quickly occur when employees use AI tools on their own without knowing whether or how they are integrated in corporate processes or should be integrated. This harbors risks in terms of data quality, data protection and unprecedented values. Companies should therefore define:
- Which AI tools can be used?
- Which data may be processed?
- How are results checked and interpreted?
Employees want to use AI in companies – even in more cases than managers be able to imagine. However, employees and managers are often not sure what they can and cannot do with AI. Can an employed chatt use to use a customer offer?
Can a manager make decisions based on AI analyzes? But the discussion is not yet over. Because beyond the question of what can be done with AI in companies and what is not, the further question arises, with which inquiries and which data related to these inquiries may be used.
Guidelines provide clarity here, as they optimally set up clear rules and make specifications of what employees: inside are allowed and what are not.
Legal and ethical protection
Data protection (GDPR) and employee rights play a role in Germany in particular. Companies must ensure that the use of AI does not violate these laws and rights. For example, personal data may not be processed uncontrollably by AI models. In companies with a works council, this can have a right of co-determination in the event of AI use, as from Section 87 of the Works Constitution Act is to be read.
The German company Zalando, for example, had to find out that these questions should not be taken lightly, which a AI-based employee scoring system wanted to introduce, which was classified as non-transparent and thus in accordance with data protection.
In the company: What should AI guidelines contain?
AI guidelines therefore basically represent sensible guidelines in companies in relation to the use of AI and in relation to the type and scope of the use. It is important that good AI guidelines not only set up rules, but-as shown above- The employees: offer support and orientation inside. For this reason, in my opinion, the following points for AI guidelines should be considered. definition:
- Companies should determine in AI guidelines: What is the case under AI?
- Which technologies and which software or which AI systems are approved in the company?
- For which tasks can AI be used in what form and with which data?
AI should support people, not replace. Guidelines should therefore clarify:
- Who is responsible for AI generated results?
- Who checks AI-based decisions or which control instances are there anyway?
- Which control mechanisms are there and how are they integrated into the general company processes?
Data protection and security
This point is relevant for all companies, but especially for European companies under the GDPR:
- Are personal data processed by AI and if so – which?
- Are there mechanisms for anonymization or how are the data protection regulations observed and applied?
- Which storage and extinguishing guidelines apply?
Quality assurance and transparency
At this point there are a few general questions that companies have to find answers. Companies should define:
- How is it checked whether the AI models used work reliably?
- AI generated decisions are documented and if so-how
- How is bias (bias) minimized, i.e. ensured that the generated answers from AI systems do not-deliberately or unintentionally-go into certain directions and these directions are regarded as neutral?
AI guidelines should also be involved ethical questions dealt, because in my opinion these questions will be increasingly in the foreground in the future:
- What values does the company represent in the use of AI?
- Should AI be used for monitoring or scoring?
- What are the measures against discrimination by AI in the company?
Conclusion: KI- guidelines in the company
Finally, it should be said that even the best guidelines are of no use if employees do not know or understand them. Therefore, with the introduction of AI guidelines, the topic “Employee training in relation to AI“Back in focus. As already indicated, many employees seem to have a need and a reception for corresponding training courses.
In my opinion, the question of whether companies need AI guidelines can be answered clearly: Yes! Because they are not only helpful, they are increasingly necessary. The use of AI in companies will continue to increase, and this increases the need for supporting guardrails as well as clear rules and structures.
AI guidelines create transparency, ensure safe and efficient use and give both managers and employees: inside the necessary basics.
However, it is not just about avoiding risks or legal protection. AI guidelines are also increasingly a strategic instrument to help companies use AI specifically and ensure that this technology is used in accordance with the company values.
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The article AI guidelines in companies: Need and content from Carsten Lexa first appeared on Basic Thinking. Follow us too Google News and Flipboard.
As a Tech Industry expert, I believe that having AI guidelines in companies is absolutely necessary in order to ensure responsible and ethical use of artificial intelligence technology.
These guidelines should cover a range of important topics, such as data privacy and security, transparency in AI decision-making processes, bias mitigation, and accountability for AI systems.
Companies must also consider the potential societal impacts of their AI technologies, and should be prepared to address any potential negative consequences that may arise.
In order to effectively implement AI guidelines, companies should involve a diverse group of stakeholders, including ethicists, legal experts, and community representatives, to ensure that all perspectives are considered.
Overall, having clear and comprehensive AI guidelines in place is crucial for companies to build trust with consumers, regulators, and other stakeholders, and to ensure that their AI technologies are used in a responsible and ethical manner.
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