Ethical Considerations of Technology Development in a Competitive Unregulated Environment

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Table of Contents

Introduction
Factors to Consider
Influence on a Career in Data Science
Potential Arguments
Strong Arguments
State and Counterargue as the Opposition
Conclusion
Works Cited

Introduction

Artificial intelligence (AI) is a fast-expanding technology with the potential to have a large good and harmful impact on society. As prominent high-tech corporations compete for market domination, they are making enormous investments in AI development, betting their prospect on this technology. Nevertheless, this explosive growth occurs in an unrestrained atmosphere motivated by short- to medium-term profit, raising ethical quandaries that must be resolved (Coeckelbergh, 2020). The purpose of this study is to investigate the positive and bad elements of AI and its possible impact on society. While artificial intelligence promises to dramatically benefit society, the assertion is that it must be produced and governed with caution to prevent undesirable outcomes. The thesis is that ethical issues must be prioritized over short-term profit in AI development, and firms must favor long-term societal advantages over short-term profit.

Factors to Consider

Here, the focus is on ethical quandaries that arise when major high-tech businesses create AI technologies in an unregulated setting. The main factors to consider are the possible beneficial and adverse societal impacts of AI technology, the fierce market pressures that push companies to prioritize short-term to mid-term earnings over lengthy societal effects, and the necessity of ethical concerns in the creation and implementation of AI technology. Furthermore, the paper will investigate the role of various regulations and policy-making in reconciling the goals of society and industry and assuring that AI technology development and use are consistent with ethical and social norms.

Influence on a Career in Data Science

The criteria stated above have a significant impact on individuals job choices in the data science field. The first factor is that advances in machine learning and AI have boosted the demand for talented data scientists to apply these approaches to complicated business challenges. The second aspect, ethical concerns about data privacy, emphasizes the significance of ethical data governance and management. The third aspect, competitiveness, and market demand underline the importance of data scientists being current on industry developments and technologies. Finally, the fourth issue, regulatory changes, emphasizes the significance of maintaining current with new rules and regulations while working with sensitive information to maintain its integrity.

Potential Arguments

To begin, while AI technology can have a significant positive impact on society, it must not be at the expense of ethical concerns and social values. Second, competitive market incentives that push businesses to pursue short-term profits above long-term societal implications will have unforeseen consequences for society. Finally, an absence of regulatory systems and public policy will result in firms wielding unfettered authority over AI technology creation and implementation, which can be harmful to society. Fourth, ethical concerns must be prioritized in the creation and implementation of AI automation to guarantee that it is consistent with social values and avoids potential harm.

Strong Arguments

The positive influence of AI technology on society is visible in a variety of fields, including medicine, education, and transportation. Therefore, it is vital to make sure that the creation and implementation of digital technology do not result in the erosion of ethical and societal principles. The concept is that the beneficial influence of AI technologies on society must not come at the expense of ethical concerns and social values.

Competitive market conditions that encourage businesses to prioritize short-term profits above long-term societal implications can have unforeseen consequences for society. For example, in the case of better profits, firms can disregard potential ethical considerations, which results in the creation and implementation of AI automation that hurts society (Baker,2021, p.173). The notion is that competitiveness will have unanticipated detrimental societal implications. As a result, it is critical to strike a balance between the interests of both society and industry.

The arguments premise is that an absence of regulatory systems and public policy will result in firms having unrestrained power over the creation and use of AI automation, which is harmful to society. As a result, legal frameworks and public policies must be established to hold firms liable for the creation and implementation of AI technology (OSullivan, 2019). Also, it guarantees that it conforms to ethical and societal norms.

State and Counterargue as the Opposition

Regarding argument one, the possible positive and negative effects of AI on society, the counterargument states that the potential beneficial effects outweigh any potential negative effects. In response to argument two, which states that competitive market pressures force corporations to favor short-term profits above long-term societal benefits, the counterargument states that companies must prioritize earnings to survive and flourish. The counterargument to argument three, the necessity for ethical concerns in the creation and implementation of AI technology, is that ethical issues might stifle innovation and render it harder for businesses to compete efficiently.

Conclusion

Finally, the creation and use of AI in an uncontrolled environment raise several ethical concerns. The potential beneficial and negative effects of AI on the community, competitiveness that favors short-term profitability, and the necessity of ethical concerns in AI creation and implementation are all important considerations. While wrestling with these difficult concerns, we must ask how to assure that AI technology helps society in general rather than just a particular community. The striking image of a world in which AI is misapplied or exploited should motivate us to act now to set strong ethical rules and principles. As a result, I urge legislators, business leaders, and citizens to accept responsibility and actively participate in the debate over the ethical concerns of AI technology. We must move quickly to reduce the hazards and make the most of AI automation before there are serious consequences.

Works Cited

Baker-Brunnbauer, Josef. Management Perspective of Ethics in Artificial Intelligence. AI and Ethics 1.2 (2021): 173-181. Web.

Coeckelbergh, Mark. AI Ethics. Mit Press, 2020. Web.

OSullivan, Shane, et al. Legal, Regulatory, And Ethical Frameworks for Development of Standards in Artificial Intelligence (AI) and Autonomous Robotic Surgery. The International Journal of Medical Robotics and Computer Assisted Surgery 15.1 (2019): e1968. Web.

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