Wichtigste Punkte
- Missverständnis: Klare Kommunikation über den Einsatz von Künstlicher Intelligenz ist entscheidend.
- Haftung: Wer ist im Falle von Fehlern verantwortlich?
- Datenschutz: Der Umgang mit persönlichen Daten erfordert Zustimmung.
- Richtlinien: Einhaltung aller relevanten Richtlinien ist notwendig.
- Ethik: Diskussionen über moralische Grenzen sind erforderlich.
- Compliance: Regelmäßige Audits sind wichtig für die Unternehmen.
- Innovationspotenzial: Chancen und Möglichkeiten der Künstlichen Intelligenz sind erheblich.
I recently had the opportunity to attend a fascinating lecture on the legal and ethical aspects of Artificial Intelligence (AI). The presentation offered valuable insights into the do’s and don’ts, compliance requirements and open questions when dealing with AI. In this blog post, I’d like to share some of the key findings.
What to avoid (Don’ts)
- Misleading: Clear communication about the use of AI is critical.
- Infringement: Pay attention to copyrights and trademarks.
- Data protection risks: Data must be stored appropriately.
- Overdelegation: Overdependence on AI can be problematic.
- Lack of consent: The use of personal data requires consent.
- Ignorance: Current and future laws should not be ignored.
What is often unproblematic in practice
- Text generation: Mostly unproblematic for internal purposes.
- Automation: Usually positive for efficiency.
- Anonymized data: No data protection concerns.
- Fair Use: Quoting and sharing is often allowed.
- Open source licenses: Often offer more flexibility.
- Experimentation: Room for creative applications is given.
Compliance: A must for every company
- Guidelines: Compliance with all relevant guidelines.
- Audits: Regular audits are important.
- Trainings: Continuing education in AI and law.
- Documentation: Complete record of all activities.
- Consulting: Involvement of legal experts.
- Update: Adaptation to new laws and standards.
Contracts and AI
- License agreements: Clear regulations are necessary.
- Liability clauses: Safeguarding against risks.
- Data protection: Must be taken into account in contracts.
- Scope of services: Precise definition of AI services.
- Termination arrangements: Flexibility and exit strategies.
- Dispute resolution: Clarify procedures and responsibilities.
Open questions and future prospects
- Liability: Who is liable in the event of errors?
- Case law: Still few judgments on AI.
- Ethics: discussions about moral boundaries.
- Technology: further development and new challenges.
- Internationality: Different laws around the world.
- Future: Unresolved issues and upcoming legislation.
Conclusions
- Legal awareness: raising awareness of legal issues.
- Best Practices: What works, what doesn’t.
- Risk management: How to protect yourself.
- Innovation potential: opportunities and possibilities.
- Network: Exchange with experts and colleagues.
- Continuing education: Suggestions for your own work and development.
If you would like to learn more about this topic or are interested in a similar presentation for your company, I would be happy to help. With my many years of experience in IT law, corporate law, media law and contract law, I can offer you valuable insights and practical training.
Feel free to contact me for more information and individual offers.
