Building responsible AI: Ten Essential Concepts for a Better Tomorrow
In the same way Isaac Asimov envisioned the “Three Laws of Robotics” in his 1942 short story “Runaround”, we might want or need sooner than we think an ethical foundation for the use of AI over the following decades. While countries and international institutions are working hard to develop robust frameworks, here are ten ideas to shape the future of Artificial Intelligence in 2024. Let’s ensure we build and use artificial intelligence ethically and responsibly! Feel free to join the conversation in the comments below and add yours!
- Don’t be Evil
Do not develop or deploy AI-powered technologies to harm people around the globe, such as Lethal Autonomous Weapons (LAWs).
2. Keep Human-in-the-Loop
Incorporate human oversight and prioritize a human-centered decision approach in all significant artificial intelligence applications.
3. Embed sustainability by design
Measure and improve energy consumption over time, and limit environmental waste whenever possible to protect the planet.
4. Societal Empowerment
Design AI systems to enhance creativity, productivity, and well-being, focusing on augmenting capabilities and improving society.
5. Transparent Impact Assessment
Assess the impact of AI transparently and invest in inclusive training to support a societal adaptation for workers pivoting to a new world.
6. Job Protection
Protect jobs, create opportunities, and adhere to responsible AI development and international cooperation standards.
7. Collective Accountability
Hold developers and companies accountable for the impact of AI, fostering continuous improvement and constant monitoring.
8. Equitable Benefit Distribution
Fairly distribute AI benefits to improve working conditions in developing countries, prioritizing job security and opportunities worldwide.
9. Privacy-Enhancing Technologies
Develop AI applications that prioritize privacy, enhance dignity, foster trust and transparency, and positively impact society in the long term.
10. Open-source governance
Develop robust AI governance models and involve local open-source communities to align with international societal values and frameworks.
