We all have seen more or less autonomous robots somewhere, maybe in a garden silently doing its job or doing more demanding tasks like in playing table tennis against a human. Even the evolution of polluting fireworks to swarms of little light-emitting drones designing figures on the sky have become quite popular. The AI-world is similarly advancing rapidly and proposes more and more “autonomous agents” to assist us. It seems crucial to distinguish the 2 Ds of autonomous agents: Degrees and Dimensions. As with job quality or job satisfaction, there are several sub-dimensions, which need to be considered when dealing, in a summarizing form, with such encompassing terms.
You might allow an agent to order missing food for a meal and pay for this autonomously. You might even be assisted in financial choices to a large degree, but you might not want an autonomous agent to make far reaching decisions concerning your health or partnership(s). Besides such dimensions, the degree of autonomous decision-making needs to be calibrated according to your (perhaps changing) preferences. Booking a table in a restaurant, with a single other person, might not just be a friendly, nice assistance, but it might get you into severe trouble. However, managing conference bookings, a family event or a birthday party might allow you to concentrate on other issues or specific details. Additionally, there are underlying and cross-cutting topics like trust, risks and security that enter the “2 Ds of autonomous agents”. A 2-dimensional matrix plotting levels across dimensions might work as a behavioral guideline in the development of autonomous agents. More dimensions may be added during the implementation.































