Futures

Embracing Abeyance: The Need for a New Perspective on Technology and Labeling, (from page 20260719.)

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Keywords

Themes

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Summary

The text discusses the need for society to adopt a mindset of ‘abeyance’—the refusal to prematurely label or categorize new technologies, such as social media and AI. It argues that imposing immediate labels without understanding the full implications can lead to unintended consequences. The author suggests that a new role, termed the ‘ambiguist,’ should be established to embrace unresolved complexities instead of rushing to closure. This role is contrasted with the tendency of artificial intelligence, which seeks to simplify and reduce complexity. The proposal includes creating a ‘Department of Abeyance’ to formally assess new technologies and ideas, ensuring that they are understood in their current complexity before making decisions that could have significant societal impacts.

Signals

name description change 10-year driving-force relevancy
Department of Abeyance A proposed institution to manage unresolved technological impacts and prevent premature conclusions about new phenomena. From reactive decision-making post-implementation to proactive, measured engagement with emerging technologies. Societies will have a formal mechanism to assess and delay conclusions on new technologies, allowing better understanding before decisions. Growing complexity and unforeseen consequences of new technologies demand a more nuanced and careful approach in governance. 5
Role of Ambiguists Emerging role for individuals who embrace and articulate ambiguity surrounding new technologies rather than providing immediate answers. From immediate labeling and categorization to sustained exploration of unresolved or complex signals. Ambiguists will become recognized professionals guiding public discourse on technology, focusing on holding space for uncertainty. The need for deeper understanding amid evolving and complex technological landscapes drives the recognition of this role. 4
Premature Labeling Awareness Increased recognition of the dangers of categorizing emerging technologies too quickly, such as ‘AI’ or ‘social media’. From superficial understanding to a more critical and reflective approach in the terminology used for technologies. Public discourse will be more cautious about labels, leading to more refined discussions around technology impacts and expectations. The adverse effects of mislabeling technologies on societal understanding and policy-making spur a push for more cautious language. 4
Neologisms as Cultural Tools Emergence of new words to describe complex phenomena, intentionally created to resist easy categorization. From using existing terms that oversimplify complex technologies to the creation of new language that captures nuance. More precise and thoughtful language will evolve to better describe technological advancements, promoting deeper understanding. The inadequacy of current language to encapsulate new realities encourages the creation of terms that more accurately reflect complexities. 4
Public Policy Shift Potential movement toward incorporating abeyance reviews in policy-making to delay decisions on new technologies. From immediate commercialization of technology to a regulated approach that assesses impacts over time. Legislative bodies will routinely impose deferrals for new technologies to fully understand effects before acting. Awareness of the social and psychological impact of rapid technological adoption prompts calls for more reflective policy-making practices. 4

Concerns

name description
Premature Labeling of Technologies The rush to define new technologies can lead to misunderstanding their true nature and implications, as seen with ‘AI’ and ‘social media’.
Social Consequences of New Technologies The unpredictable social consequences of new technologies could harm individuals and society, as there are no established guidelines for their integration.
Cognitive Bias Towards Closure The human tendency to quickly form conclusions about new situations may hinder our ability to understand and adapt to novel technologies.
Institutional Resistance to Abeyance Existing institutions may resist adopting an abeyance approach, leading to premature decision-making and oversight in technology policy.
Accountability of Abeyance Practices The potential misuse of abeyance as a way for governments to avoid accountability for decisions remains a significant concern.
Public Misunderstanding of AI Mislabeling AIs as intelligent entities could lead to unrealistic expectations and ethical dilemmas about their use and treatment.
Evolving Language and Terminology The challenge of keeping language relevant and resistant to simplification or commercial capture affects how we understand new concepts.
Balancing Innovation with Caution Failing to impose initial restrictions on potentially harmful technologies can have long-term societal impacts, like those seen with social media.

Behaviors

name description
Abeyance Practice The conscious refusal to prematurely label or categorize new technologies and social phenomena, promoting thoughtful engagement instead.
Role of the Ambiguist An emerging societal role that actively resists premature closure on complex ideas, maintaining an open-ended exploration of concepts.
Institutional Abeyance Framework The establishment of organizations or departments aimed at conducting assessments of new technologies before their classification to avoid mislabeling.
Strategic Foresight Integration Applying foresight and defamiliarization techniques in governance to slow down decision-making processes and allow for proper consideration of new technologies.
Neologism as Tool Creating new terms to maintain conceptual space and prevent premature categorization of technologies, facilitating discussions on their true nature.
Cognitive Flexibility Training Encouraging training that emphasizes emotional awareness and the acceptance of uncertainty to better handle complex decisions and societal changes.

Technologies

name description
Large Language Models Advanced computational models designed to understand and generate human-like text, but lacking true reasoning capabilities.
Social Media Platforms designed to facilitate social interaction, critiqued for their actual effects on human connection and behavior.
Drones Unmanned aerial vehicles used for various applications, including photography, with evolving implications for society.
Driverless Cars Autonomous vehicles that navigate without human intervention, presenting challenges in governance and ethics.
Artificial Intelligence (AI) Technologies simulating human intelligence, often misrepresented, highlighting the need for accurate terminology and understanding.
Ambiguist Role A conceptual role focused on maintaining ambiguity and resisting premature categorization in response to emerging technologies.
Department of Abeyance A proposed institutional framework to manage and review emerging technologies without immediate categorization or closure.
Strategic Foresight A practice of anticipating future trends and their implications, vital for informed decision-making regarding new technologies.
Neologism as Institutional Technology The process of coining new terms to describe emerging phenomena, preventing premature closure in understanding.

Issues

name description
Premature Closure in Technology Adoption The tendency to quickly label and commercialize new technologies without fully understanding their consequences, leading to societal risks.
Need for Abeyance in Policy Making The concept of abeyance, or suspension of decision-making, as a necessary institutional practice to handle technological and social developments cautiously.
Role of the Ambiguist Emergence of a new societal role, the ambiguist, who resists premature categorization and actively engages with unresolved complexities.
Redefining AI The need to redefine and find appropriate terminology for technologies like LLMs, which are often misclassified as AI, affecting policy and public perception.
The Department of Abeyance Proposed institutional framework for maintaining a state of unresolved inquiry about new technologies before making policy decisions.
Legislative Dynamics in Tech Regulation The importance of proactive regulatory frameworks that impose limits on technology based on pending understanding rather than reactive measures.
Cognitive Dissonance in Technology Recognition of the struggles individuals face in reconciling their understanding with rapidly evolving technological landscapes.
Emotional Training in Policy The potential for incorporating emotional intelligence practices in political and policy environments to cope with uncertainty and complexity.