Industrial IoT risks. When IoT devices are hacked in the industrial environment, then it creates an issue with the important infrastructure like energy grid, transportation system, and manufacturing plant. Such disruptions can have severe consequences on economies as well as the safety of the general public.
Ethical Consideration
There are several concerns that arise from the adoption of IoT technologies. One of the biggest concerns is that of algorithmic bias particularly in systems that incorporate AI into their operations. This paper focuses on the dangers of biases in IoT systems that are built with AI capabilities. For instance, smart security cameras with facial recognition may misidentify individuals since the technology is based on data that also holds biases.
Another issue is the absence of informed consent in data collection. The majority of the IoT devices that are available in the market are found to collect data without even informing the user thus raising some ethical questions on informed consent and user's autonomy. For example, smart TVs may be tuning in to people's viewing habits without them knowing it.
The digital divide also becomes an issue in the ethical consideration of IoT. This means that the ethical issues regarding the use of IoT. IoT technologies' development and integration are uneven; this intensifies the gap between those with access to technology and those without. While the societies with high income can enjoy the advanced IoT applications, the societies with low income cannot afford such technologies and may lead to increase in the social inequalities.
Addressing the Challenges
1.Regulatory Frameworks
To ensure protection of data and security of the governments and other international organizations need to come up with certain set of rules. The European Union's General Data Protection Regulation (GDPR) provides a model on how to protect the privacy and security of IoT users. Other laws like the California Consumer Privacy Act (CCPA) should be implemented across the globe to reduce risks.
2.Security-by-Design Principles
To ensure protection of data and security of the governments and other international organizations need to come up with certain set of rules. The European Union's General Data Protection Regulation (GDPR) provides a model on how to protect the privacy and security of IoT users. Other laws like the California Consumer Privacy Act (CCPA) should be implemented across the globe to reduce risks.
3.User Education and Empowerment
