Sosialisasi Artifical Intelligence Menuju Smart Government Untuk Kelompok Pkk Rw 06 Tegal Parang Mampang

The rapid advancement of Artificial Intelligence (AI) technology has significantly impacted industries and government sectors during the fourth industrial revolution. AI offers the potential to simplify and streamline public service delivery, enabling governments to enhance service quality, build public trust, and improve efficiency. In Indonesia, the Women's Empowerment Family Welfare Movement (PKK) plays a crucial role in promoting women's participation in national development. As partners to village and sub-district governments, PKK supports population management and regional development. In line with its commitment to Community Service, Nusa Mandiri University organized the Socialization of Artificial Intelligence Towards Smart Government for PKK RW 06 Tegal Parang Mampang. The main objective of this activity was to inform the management of PKK RW 06 about the benefits and implementation of AI technology in achieving smart government and enhancing PKK's services and activities. The socialization event, attended by 12 participants, was conducted in a hybrid format, combining face-to-face meetings and digital technology. The participants exhibited great enthusiasm in grasping the material and actively engaging in interactive Q&A sessions. As a result of the socialization, participants demonstrated an improved understanding of AI's applications in smart government. To maximize the future impact of community service activities, it is recommended to develop more comprehensive materials, provide continuous training, engage additional partners, and conduct regular evaluations and improvements. By taking these steps, community service initiatives can generate greater benefits for participants and the wider communit

Building Bridges: Generative Artworks to Explore AI Ethics

In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society. Across academia, industry, and government bodies, a variety of endeavours are being pursued towards enhancing AI ethics. A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests. These different perspectives are often not understood, due in part to communication gaps.For example, AI researchers who design and develop AI models are not necessarily aware of the instability induced in consumers' lives by the compounded effects of AI decisions. Educating different stakeholders about their roles and responsibilities in the broader context becomes necessary. In this position paper, we outline some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools for surfacing different perspectives. We hope to spark interdisciplinary discussions about computational creativity broadly as a tool for enhancing AI ethics

Artificial intelligence: opportunities and implications for the future of decision making

Artificial intelligence has arrived. In the online world it is already a part of everyday life, sitting invisibly behind a wide range of search engines and online commerce sites. It offers huge potential to enable more efficient and effective business and government but the use of artificial intelligence brings with it important questions about governance, accountability and ethics. Realising the full potential of artificial intelligence and avoiding possible adverse consequences requires societies to find satisfactory answers to these questions. This report sets out some possible approaches, and describes some of the ways government is already engaging with these issues

Beneficial Artificial Intelligence Coordination by means of a Value Sensitive Design Approach

This paper argues that the Value Sensitive Design (VSD) methodology provides a principled approach to embedding common values in to AI systems both early and throughout the design process. To do so, it draws on an important case study: the evidence and final report of the UK Select Committee on Artificial Intelligence. This empirical investigation shows that the different and often disparate stakeholder groups that are implicated in AI design and use share some common values that can be used to further strengthen design coordination efforts. VSD is shown to be both able to distill these common values as well as provide a framework for stakeholder coordination

Robots, drugs, reality and education: how the future will change how we think

Emerging technologies for learning report - Article exploring various future trends and their potential impact on educatio

Designed agency in collaborations: Exploring cross-sector collaboration in Finland’s artificial intelligence programme AuroraAI.

Prospects of advanced digitalisation, namely applications of algorithmic computation and artificial intelligence, are expected to improve data-driven decision-making in business and government alike. Overshadowed by this vast momentum in technology and predicted progress, societal questions of human dignity and democratic participation in anticipation of futures are fading out of attention. Cross-sector collaborations in the public sector are perceived as a viable means to address complex socio-technical problems, such as the above, as part of an emerging shift from market- and performance-focused governance and towards public good. Simultaneously, the discipline of design, increasingly permeating other fields, sees progressive application in the public realm where it provides encouraging means of participatory engagement to support the reorientation of governance towards the human being. My research takes a critical perspective on the preliminary, pre-2020, preparations of AuroraAI, the Finnish national programme for artificial intelligence, and interconnected cross-sectoral service provision. By developing a human-centric lens of design, the mixed-methods study constructively investigates barriers in the collaborative development and how these closely relate to the currently present and omitted actors and their respective agency. Normative aspects inherent to questions of fair participation in the creation of public good and joint futures are substantiated with the reviewed literature ranging from design to political theory. The thesis highlights the importance of actively nurturing intangible structures of trust and mutual understanding to establish ownership and equity in decision-making. Different levels of agency among actors in the programme appear to be profoundly determined by consciously and unconsciously taken design choices regarding the structures that create the foundations for the processes of collaborative engagement. If agency is the capacity of an actor to exert power in a given context, this capacity can be deliberately or unintentionally limited and expanded; hence agency is open to be designed towards a preferred level of capacity. In the context of collaborations, designed structures, rules and norms then become the main lever to manipulate agency and thereby power dynamics, according to prefigured values and principles. Thus far, the collective agency in AuroraAI seems to be affected by the ramifications of structural limitations regarding actor involvement, open communication and the collaborative engagement regarding a partly prefigured techno-centric agenda. I propose a strategic reframing towards jointly deliberated values of public good within a wider network of actors in their self-determination of digital futures. Structures that guarantee continuous public engagement are not only considered a matter of principle but as a direct means for sustaining relational trust between the government and civil society, as well as to augment internal goal consistency and enhanced legitimacy. Hence, the study acknowledges the design of agency via formal and informal structures to be the reflection and reproduction of value-decisions regarding power dynamics in a collaboration and its political environment

Man and Machine: Questions of Risk, Trust and Accountability in Today's AI Technology

Artificial Intelligence began as a field probing some of the most fundamental questions of science - the nature of intelligence and the design of intelligent artifacts. But it has grown into a discipline that is deeply entwined with commerce and society. Today's AI technology, such as expert systems and intelligent assistants, pose some difficult questions of risk, trust and accountability. In this paper, we present these concerns, examining them in the context of historical developments that have shaped the nature and direction of AI research. We also suggest the exploration and further development of two paradigms, human intelligence-machine cooperation, and a sociological view of intelligence, which might help address some of these concerns.Comment: Preprin