Enforcing Artificial Intelligence (AI) related Regulations Benefits Humanity

Enforcing Artificial Intelligence (AI) related Regulations Benefits Humanity

Outline

Topic: Enforcing Artificial Intelligence (AI) related Regulations Benefits Humanity

Specific Purpose: To persuade my audience that AI is the trend of the future if we have proper regulations, they are not a threat to us

Central idea: AI can be beneficial in many different industries, including healthcare, manufacturing, and the transport industry, and it is critical in human development in the future

Introduction

1. As the capabilities of artificial intelligence systems improve, it becomes essential to constrain their actions to ensure their behavior remains beneficial to humanity (Vamplew et al., 2017).
2. The recent improvement in AI has increased the need for legal frameworks to address the uncertainties that they present to humanity.

• Based on the facts that AI seeks to mimic human behaviors, they should be regulated because even human beings are regulated to guarantee compliance and responsible development of artificial technologies (Tschider, 2018).

1. The existing approaches and legal frameworks should be redefined to increase flexibility and adaptability in regulating AI.

Transition:  after introducing what AI entails, the next section will explore why it should be regulated and how it should be regulated

Body

1. Manufacturing
2. AI should be regulated in the manufacturing sector to minimize the effects of automation on manual labor. The increasing influence of AI in the automation of manufacturing process and labor can be regulated by imposing limitations on the types of jobs that the AI technologies, including robots, should perform (Torresen, 2018). The regulation of AI technologies applied in the automation of manufacturing and labor will facilitate the adoption of the AI-enabled cobots with redesigned processes that are centered on human-machine collaborations.
3. Failing to regulate AI in manufacturing will increase the malicious use of A1 as well as the allocation of responsibility for failure (Vamplew et al., 2018). The reluctance of authorities to regulate AI can be compared to their slow progress towards regulating the Internet. For example, failing to regulate the internet when it emerged has increased the prevalence of cybercrime because the internet is evolving much faster than the established regulations. Similarly, the reluctance in regulating AI will not only compromise industry ethics but also it will increase the malicious use of AI related technology in manufacturing.
4. AI should be regulated to increase efficiency in machine and process control. It can be regulated by establishing the technical or minimum standards that all applied AI technologies used in manufacturing must meet (Turner, 2018). The regulation of AI will help in the development of machine and process control measures designed to add value and increase the productivity of a firm.
5. Healthcare
6. Patient privacy and confidentiality have become a significant concern in healthcare settings in the wake of AI. As such, the implementation of FDA device regulation and the adequacy of data protection laws will regulate the applicability of AI in healthcare (Perc, Ozer, & Hojnic, 2019). These regulations will help in protecting patient confidentiality and minimizing the vulnerability of the applied data.
7. Failing to regulate AI will not only intensify privacy invasion, but also it will increase bias in systems used in health care as well as in the data used to diagnose or prescribe treatment options for patients. As such, it is instrumental to regulate AI in healthcare setting to reduce reliance on complex systems that might compromise the safety and health of patients.
8. The growing application of AI in the analysis of complex medical data has increased the need for regulation. Thus, the application of HIPAA Privacy, Security, and Breach Notification rules will regulate the application of AI in the analysis of medical data (Tschider, 2018). This will increase the accuracy in medical data analysis and emulation of human care to promote the effectiveness of healthcare.

• Transportation

1. The rise of automated cars and electric vehicles has increased the demand for strict regulation of AIs to improve safety. AI technologies related to the development of automated cars can be regulated through the adoption of the federal autonomous vehicle policy. The policy aims at promoting compliance with federal and state safety laws and standards, as well as registration, certification, and minimal risk or safe state requirements to improve the safety of pedestrians and improve the functionality of the cars (Boeglin, 2015).
2. Failing to regulate AI in the transportation sector will increase the prevalence of black box systems that cannot explain or justify their decisions (Torresen, 2018). These black box systems will not only automate the transportation system, but also they will force humans out of employment.
3. As such, it is essential to regulate AI in the transportation sector to increase the safety of road users by ensuring the black boxes and other automated operating systems used in vehicles and aircraft have the potential to justify their decisions.

Transition: now that we have understood the need for regulations, how to regulate AIs, and the benefits of regulations, the next section will provide a summary of the key points.

Summary

1. Artificial intelligence is increasingly becoming integrated into the everyday lives of humans.
2. It has a significant impact on many aspects of society and industry, including the transportation, healthcare, and manufacturing industries.

• The regulation seeks to facilitate the development of human-centered and industrial AIs with advance problem-solving capabilities to increase their functionality in various domains.

1. AI regulations have created appropriate frameworks for promoting humans rights by minimizing AI surveillance and job automation to shape human development.
2. Failing to regulate AI will not only violate the privacy of patients and increase job destructions, but also it will increase the prevalence of automated operating with zero capabilities of justifying or explaining their decisions.

Transitions: now, we can understand the regulation of AI technologies, including the need for regulations, plan for regulation, and practicality of regulation.

References

Boeglin, J. (2015). The costs of self-driving cars: reconciling freedom and privacy with tort liability in autonomous vehicle regulation. Yale JL & Tech., 17, 171.

Perc, M., Ozer, M., & Hojnik, J. (2019). Social and juristic challenges of artificial intelligence. Palgrave Communications, 5(1), 1-7.

Torresen, J. (2018). A review of future and ethical perspectives of robotics and AI. Frontiers in Robotics and AI, 4, 75.

Tschider, C. A. (2018). Deus Ex Machina: Regulating Cybersecurity and Artificial Intelligence for Patients of the Future. Savannah L. Rev., 5, 177.

Turner, J. (2018). Robot Rules: Regulating artificial intelligence. Springer.

Vamplew, P., Dazeley, R., Foale, C., Firmin, S., & Mummery, J. (2018). Human-aligned artificial intelligence is a multiobjective problem. Ethics and Information Technology, 20(1), 27-40.