Alternatives to safety-critical systems

Safety-critical systems are engineered with the highest standards of reliability and robustness to prevent catastrophic failures. They are essential in domains where malfunctions can have severe consequences, such as in autonomous vehicles, medical implants, and industrial control systems.

At a glance

Executive summary

Safety-critical systems are designed to operate without failure, as such failures could lead to severe harm or loss of life. They are a foundational concept in many fields, including aerospace, automotive, and medical devices, where reliability and predictability are paramount. The alternatives presented often represent specific applications or methodologies that can be employed within or alongside safety-critical system design.

TL;DR

If you need to ensure reliable operation in high-risk environments use safety-critical systems; if you need to assist humans with tasks use assistive robotics or assistive control loops; if you need to quantify uncertainty use calibrated probabilities or confidence thresholds; if you need to model human behavior use Activities of Daily Living; if you need to improve uncertainty estimates use calib

Key points

Prioritize absolute reliability and fault tolerance when human safety is at stake.
Consider assistive robotics or assistive control loops for systems that directly interact with and support human users.
Employ calibrated probabilities and confidence thresholds when quantifying the uncertainty of system predictions or actions.
Utilize calibration techniques to improve the accuracy and trustworthiness of probabilistic models.
Leverage Activities of Daily Living (ADL) frameworks for systems designed to understand and support human routines and behaviors.

Our Take

## Our Take The intersection of safety-critical systems and assistive robotics presents a unique landscape where technology must balance reliability with user support. Safety-critical systems, such as those used in aviation or healthcare, rely on calibrated probabilities and stringent confidence thresholds to ensure that decisions made by automated systems are both safe and effective (Leveson, 2011). In contrast, assistive robotics focuses on enhancing the Activities of Daily Living (ADLs) for individuals, particularly the elderly or disabled, where the stakes involve not just safety but also the quality of life (Kumar et al., 2020). Calibrated probabilities play a crucial role in both domains. In safety-critical systems, these probabilities are meticulously calculated to minimize risks, often necessitating complex calibration techniques to ensure that the system behaves predictably under various conditions (Sullivan et al., 2018). For assistive robots, while safety remains paramount, the calibration of probabilities often leans towards optimizing user experience and comfort, which can involve adjusting confidence thresholds based on user feedback and interaction patterns. The assistive control loop in robotics is designed to adapt to the user’s needs dynamically, which can lead to a more personalized experience. However, this adaptability raises questions about the reliability of the system in critical situations. A balance must be struck between responsiveness and safety, ensuring that assistive devices do not compromise user safety while enhancing their independence (Borenstein et al., 2017). In conclusion, while both safety-critical systems and assistive robotics share a foundational commitment to safety, their approaches diverge significantly. The challenge lies in integrating the rigorous standards of safety-critical systems with the flexible, user-centered design of assistive technologies, paving the way for innovations that prioritize both safety and enhanced quality of life.

Alternative	Difference	Papers (with safety-critical systems)	Avg viability
assistive robotics	—	1	—
calibrated probabilities	—	1	—
Activities of Daily Living	—	1	—
calibration techniques	—	1	—
confidence thresholds	—	1	—
assistive control loop	—	1