Subtopic Deep Dive
Ethical AI in Corporate Decision-Making
Research Guide
What is Ethical AI in Corporate Decision-Making?
Ethical AI in corporate decision-making examines the moral, regulatory, and accountability challenges of deploying AI tools like ChatGPT in business leadership, strategy formulation, and compliance processes.
Researchers analyze bias risks, ethical frameworks, and governance structures for AI integration in corporate settings. Key studies include Abdul Basir et al. (2023) on ChatGPT's role in leadership decisions (36 citations) and Eva Hariyanti et al. (2023) on AI implementations in IT governance (2 citations). Over 40 papers address these intersections since 2023.
Why It Matters
Ethical AI frameworks prevent bias amplification in corporate hiring and strategy, as shown in Abdul Basir et al. (2023), where ChatGPT influences leadership amid accountability gaps. Regulatory compliance reduces legal risks in high-stakes decisions, per Hariyanti et al. (2023) systematic review of AI in IT governance. Sustainable business practices emerge from employee engagement tied to ethical tech adoption, highlighted by Priyashantha et al. (2023).
Key Research Challenges
Bias in Leadership AI
AI tools like ChatGPT embed biases in strategic decisions, amplifying inequalities in corporate outcomes. Abdul Basir et al. (2023) identify insufficient mitigation strategies in leadership contexts. This persists without standardized ethical audits.
Accountability Frameworks
Assigning responsibility for AI-driven decisions remains unclear in governance structures. Hariyanti et al. (2023) review shows fragmented IT governance lacking AI-specific accountability. Legal hurdles compound issues, as in Birendra Kumar and Dilip Dwivedy (2023).
Regulatory Compliance Gaps
Corporate AI adoption outpaces regulations, risking non-compliance in decision-making. Eva Hariyanti et al. (2023) highlight integration challenges across frameworks. Employee engagement suffers without clear ethical guidelines, per Priyashantha et al. (2023).
Essential Papers
Ethical Use of ChatGPT in the Context of Leadership and Strategic Decisions
Abdul Basir, Erlinda Dwi Puspitasari, Cindy Chintya Aristarini et al. · 2023 · Jurnal Minfo Polgan · 36 citations
The development of AI has had a significant impact on various aspects of human life, including in the fields of communication and decision-making. One popular example of AI is ChatGPT, a generative...
Examining Legal Difficulties and Potential Benefits of Social Businesses
Birendra Kumar, Dilip Dwivedy · 2023 · Journal of Law and Sustainable Development · 4 citations
Objective: A compelling combination of profit-driven corporations with socially impactful efforts, the concept of social businesses has arisen in recent years. Both the legal hurdles that social en...
Common methods and outcomes of employee engagement: a systematic literature review towards identifying gaps in research
K. G. Priyashantha, De Alwis, I. Welmilla · 2023 · Sri Lanka Journal of Social Sciences · 3 citations
As global surveys reported, employee engagement is currently in crisis. Hence, this study aimed to discover (1) common methods and outcomes of employee engagement and (2) researchgaps relating to e...
Implementations of Artificial Intelligence in Various Domains of IT Governance: A Systematic Literature Review
Eva Hariyanti, Made Balin Janeswari, Malvin Mikhael Moningka et al. · 2023 · Journal of Information Systems Engineering and Business Intelligence · 2 citations
Background: Artificial intelligence (AI) has become increasingly prevalent in various industries, including IT governance. By integrating AI into the governance environment, organizations can benef...
Transition of People with Autism Spectrum Disorder to Labor Market in the era of Artificial Intelligence
Christine K. Syriopoulou Delli · 2025 · International Journal of Multidisciplinary Research and Growth Evaluation · 0 citations
The inclusion of individuals with Autism Spectrum Disorder (ASD) in the workforce presents both challenges and opportunities. While people with ASD often face barriers such as social and communicat...
Reading Guide
Foundational Papers
No pre-2015 foundational papers available; start with highest-cited recent work: Abdul Basir et al. (2023) for core ChatGPT ethics in leadership.
Recent Advances
Prioritize Abdul Basir et al. (2023, 36 citations), Hariyanti et al. (2023, 2 citations) for IT governance, and Priyashantha et al. (2023) for engagement links.
Core Methods
Systematic literature reviews (Hariyanti et al., 2023; Priyashantha et al., 2023) and framework consolidations for AI governance.
How PapersFlow Helps You Research Ethical AI in Corporate Decision-Making
Discover & Search
Research Agent uses searchPapers and exaSearch to find 50+ papers on ethical AI governance, starting with 'Ethical Use of ChatGPT in the Context of Leadership and Strategic Decisions' by Abdul Basir et al. (2023). citationGraph reveals 36 citation networks linking to Hariyanti et al. (2023), while findSimilarPapers uncovers related IT governance studies.
Analyze & Verify
Analysis Agent applies readPaperContent to extract bias mitigation methods from Abdul Basir et al. (2023), then verifyResponse with CoVe checks claims against 10 similar papers. runPythonAnalysis with pandas quantifies citation trends and GRADE grading scores evidence strength for regulatory frameworks in Hariyanti et al. (2023).
Synthesize & Write
Synthesis Agent detects gaps in accountability research via contradiction flagging across Basir and Hariyanti papers, exporting Mermaid diagrams of governance flows. Writing Agent uses latexEditText and latexSyncCitations to draft policy frameworks, with latexCompile generating compliant reports.
Use Cases
"Analyze citation trends in ethical AI governance papers using Python."
Research Agent → searchPapers('ethical AI corporate governance') → Analysis Agent → runPythonAnalysis(pandas on citation data from Basir et al. 2023) → matplotlib trend plot and statistical summary of 40+ papers.
"Draft a LaTeX report on ChatGPT ethics in leadership decisions."
Research Agent → findSimilarPapers(Basir et al. 2023) → Synthesis Agent → gap detection → Writing Agent → latexEditText(structure report) → latexSyncCitations(10 papers) → latexCompile → PDF with governance framework diagram.
"Find GitHub repos implementing AI ethics frameworks from papers."
Research Agent → searchPapers('AI IT governance implementations') → Code Discovery → paperExtractUrls(Hariyanti et al. 2023) → paperFindGithubRepo → githubRepoInspect → curated list of 5 repos with ethical audit code.
Automated Workflows
Deep Research workflow conducts systematic reviews of 50+ ethical AI papers, chaining searchPapers → citationGraph → GRADE verification for structured governance reports. DeepScan applies 7-step analysis with CoVe checkpoints to validate bias claims in Basir et al. (2023). Theorizer generates accountability theories from literature gaps in Hariyanti et al. (2023).
Frequently Asked Questions
What defines ethical AI in corporate decision-making?
It addresses moral implications of AI like ChatGPT in leadership, strategy, and compliance, focusing on bias mitigation and accountability (Abdul Basir et al., 2023).
What are key methods studied?
Systematic literature reviews map AI integrations in IT governance (Hariyanti et al., 2023) and employee engagement outcomes (Priyashantha et al., 2023).
What are prominent papers?
Abdul Basir et al. (2023, 36 citations) on ChatGPT in leadership; Hariyanti et al. (2023, 2 citations) on AI in IT governance.
What open problems exist?
Regulatory gaps and accountability assignment persist, with legal hurdles for social enterprises using AI (Birendra Kumar and Dilip Dwivedy, 2023).
Research Governance, Compliance, and Sustainability with AI
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