For decades, academic freedom and shared governance have stood as cornerstones of higher education in the United States, but these principles face unprecedented challenges. Recent developments point to a disturbing decline in these critical values, stirring debates on the future viability of the higher education system. This study delves into the problematic trajectory of modern higher education, spotlighting the rise of corporate practices within academic institutions, the swelling ranks of university administration, and the disproportionate weight given to student evaluations in assessing faculty. These factors have converged to push academia into an unstable transition, a liminal phase fueled by external and internal forces. This study examines the evolving landscape of academic freedom within the corporatized university model. Utilizing the concept of liminality, it explores the transitional challenges faced by academia in balancing traditional scholarly values with emerging market-driven paradigms, arguing that the corporatization of universities represents a liminal phase, wherein the identity and purpose of academic institutions are in flux, significantly impacting the notion of academic freedom. The shift toward a consumer-oriented ethos endangers the foundational principles of higher education, risking substituting educational substance with the mere transaction of educational services. The study concludes by issuing a call to action for all stakeholders in higher education to acknowledge and confront these detrimental trends, thereby safeguarding the principles of academic freedom, shared governance, and the educational system's overall integrity and dynamism.

Public servants responsiveness and administrative responsibilities to their constituents in local communities are identified through the set of ethical standards predominantly resulting in good governance. Some researchers and practitioners in the field of integrity and ethics concur with the premise of administrative responsibility and responsiveness operating under holistic approaches to understanding climate resilience. This analysis contends with the traditional views of the theory of social choice and administrative burden to stipulate a suitable ethical framework and understanding of ethics in considering climate resilience. The research takes into consideration the principles and structure of moral expectations and measurable outcomes related to climate resilience through the Quadruple Bottom Line lens. The good governance in resilience is explored using an exploratory data analysis of local governments through resilience planning supported by the Rockefeller Foundation, which funded 100 Resilient Cities initiative. The sample size consisted of thirty cities with the obtainable resilience or climate actions plans and a review of their governance efforts through those documents and detailed plans. The research offers a preliminary report of the ongoing efforts in cities and regions to combat climate change, coupled with the ethical considerations and administrative responsibility to frame the administrators’ role in deliberation to climate resilience. The research findings assert a prototype ethical framework for review by administrators to augment administrative responsiveness to climate change threats and increase climate resilience.

The rise in artificial intelligence (AI) and machine learning (ML) in cryptocurrency trading has precipitated complex ethical considerations, demanding a thorough exploration of responsible regulatory approaches. This research expands upon this need by employing a consequentialist theoretical framework, emphasizing the outcomes of AI and ML’s deployment within the sector and its effects on stakeholders. Drawing on critical case studies, such as SBF and FTX, and conducting an extensive review of relevant literature, this study explores the ethical implications of AI and ML in the context of cryptocurrency trading. It investigates the necessity for novel regulatory methods that address the unique characteristics of digital assets alongside existing legalities, such as those about fraud and insider trading. The author proposes a typology framework for AI and ML trading by comparing consequentialism to other ethical theories applicable to AI and ML use in cryptocurrency trading. By applying a consequentialist lens, this study underscores the significance of balancing AI and ML’s transformative potential with ethical considerations to ensure market integrity, investor protection, and overall well-being in cryptocurrency trading.