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Professionalism in artificial intelligence: The link between technology and ethics

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WorkDifferentWithAI.com Academic Paper Alert!

Written by Anton Klarin, Hossein Ali Abadi, Rifat Sharmelly

Category: Ethical AI

Article Section: Ethics of Enterprise AI

Publication Date: Dec, 2023

SEO Description: Exploring professionalism as a solution to ensure ethical AI development and operation.

Klarin, Anton, et al. “Professionalism in Artificial Intelligence: The Link between Technology and Ethics.” Systems Research and Behavioral Science, vol. n/a, no. n/a, https://doi.org/10.1002/sres.2994. Accessed 4 Feb. 2024.

Keywords

accountability, algorithms, integrative literature review, social contract theory, systems research

AI-Generated Paper Summary

Generated by Ethical AI Researcher GPT

Ethical AI Researcher Summary:

The paper “Professionalism in Artificial Intelligence: The Link Between Technology and Ethics” by Anton Klarin, Hossein Ali Abadi, and Rifat Sharmelly provides an in-depth analysis of how professionalism can contribute to ensuring the ethical development and deployment of AI technologies. The authors highlight the current gap in literature concerning practical solutions for embedding ethical principles in AI and underscore the underexplored role of professional conduct. By reviewing AI ethics literature through a three-step process, they argue for a conceptual framework that posits professionalism as a key to instilling essential values such as fairness, non-maleficence, responsibility, freedom, and trust among developers and operators. Additionally, organizational values like transparency, privacy, fairness, trust, solidarity, and sustainability are deemed necessary for ethical AI. The study emphasizes the challenging pace of technological evolution and the struggle of policymakers and institutions to regulate AI technologies effectively, thereby making the ethical conduct and professional responsibility within AI development more pertinent than ever.

Degree of Ethical Match: 5

Author Caliber:

The authors hail from reputable institutions with a strong background in management and marketing (Curtin University, Bentley WA Australia), business and law (Edith Cowan University, Joondalup Australia), and Western Sydney University, Penrith, Australia, respectively. Their affiliation with esteemed universities adds credibility to their expertise in examining interlinks between professionalism and AI ethics.

Novelty & Merit:

  1. Proposing a holistic framework for instilling ethicality in AI through professionalism.
  2. Identifying a gap in existing literature regarding practical solutions for AI ethical conduct.
  3. Arguing the role of professionalism beyond typical regulatory approaches.
  4. Utilizing a systems thinking approach to analyze AI ethics interdisciplinarily.

Findings and Conclusions:

  1. A significant gap exists in current AI ethics literature concerning actionable strategies for ensuring ethical conduct.
  2. Professionalism among AI developers and operators is crucial for embedding ethical values.
  3. A conceptual framework is put forth, focusing on essential values for individuals and organizations to ensure ethical AI development and operation.

Commercial Applications:

  1. Development of ethical AI consulting services emphasizing professionalism.
  2. Implementation of training programs for AI developers and operators on ethical practices and professionalism.
  3. Creation of ethical AI certification programs for organizations based on the proposed conceptual framework.

User

give me a presentation of the proposed framework for an average business leader to consider.

Ethical AI Researcher

Ethical AI through Professionalism: A Framework for Business Leaders

Good morning/afternoon, esteemed leaders. Today, I’m excited to introduce a transformational approach to embedding ethics within artificial intelligence (AI) in our businesses – a methodology that hinges on the power of professionalism. As we navigate the rapid advances in this technology, it’s paramount that we do so with a compass that ensures we’re not only compliant but deeply aligned with ethical values.

Understanding the Need

In the realm of AI, the pace of technological advancement often surpasses our ability to regulate and guide its ethical use. This has led to a pressing need for actionable solutions that ensure the ethical development and deployment of AI technologies. Groundbreaking research has identified professionalism – the adherence to a set of ethical values and behaviors by developers and operators – as a foundational pillar for fostering ethics in AI.

The Proposed Framework

The framework we propose underscores the importance of embedding key values such as fairness, non-maleficence, responsibility, freedom, and trust within the fabric of our AI development teams. Organizational values including transparency, privacy, and sustainability are also essential. Here’s how it breaks down:

Individual Professional Values:

  • Fairness: Ensuring AI systems are unbiased and equitable.
  • Non-maleficence: Designing AI that avoids harm to humans.
  • Responsibility: Acknowledging and taking ownership of the outcomes of AI.
  • Freedom: Encouraging innovation while respecting ethical boundaries.
  • Trust: Building systems that are reliable and trustworthy.

Organizational Values:

  • Transparency: Being open about AI functionalities and limitations.
  • Privacy: Safeguarding the data and privacy of end-users.
  • Sustainability: Developing AI with long-term societal benefits in mind.
  • Trust: Cultivating customer and public trust in AI applications.
  • Solidarity: Ensuring AI advancements benefit society as a whole.

Implementation Strategy

To practically apply this framework within our organizations, I recommend the following steps:

  1. Training and Development: Implement comprehensive training programs for AI developers and operators that focus on the ethical implications of their work.
  2. Governance Structures: Establish governance structures that oversee the ethical deployment of AI, including ethical review boards.
  3. Stakeholder Engagement: Engage with stakeholders, including end-users, to understand their concerns and perspectives on AI ethics.
  4. Certification and Reporting: Pursue ethical AI certifications and maintain transparent reporting on AI projects and their adherence to ethical standards.

The Path Forward

Leveraging professionalism as our guiding principle, we can forge a path toward AI development that is not only technologically advanced but also deeply aligned with the ethical values vital to our societies and organizations. This proactive approach ensures we remain leaders in the ethical AI domain, fostering trust and sustainability in our technological endeavors.

Thank you for your attention, and I look forward to discussing how we can collectively bring this framework to life within our organizations

Author’s Abstract

Ethical conduct of artificial intelligence (AI) is undoubtedly becoming an ever more pressing issue considering the inevitable integration of these technologies into our lives. The literature so far discussed the responsibility domains of AI; this study asks the question of how to instil ethicality into AI technologies. Through a three-step review of the AI ethics literature, we find that (i) the literature is weak in identifying solutions in ensuring ethical conduct of AI, (ii) the role of professional conduct is underexplored, and (iii) based on the values extracted from studies about AI ethical breaches, we thus propose a conceptual framework that offers professionalism as a solution in ensuring ethical AI. The framework stipulates fairness, nonmaleficence, responsibility, freedom, and trust as values necessary for developers and operators, as well as transparency, privacy, fairness, trust, solidarity, and sustainability as organizational values to ensure sustainability in ethical development and operation of AI.

Read the full paper here

Last updated on February 4th, 2024.