Philosophical Review of Artificial Intelligence for Society 5.0

Marvin, Ggaliwango; Tamale, Micheal; Kanagwa, Benjamin; Jjingo, Daudi

doi:10.1007/978-981-99-4626-6_1

Cited by 9 publications

(3 citation statements)

References 79 publications

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“…These machines are thought of as being environmentally aware. These machines try to mimic human beings in their ways of making decisions (Marvin et al, 2023). This field has attracted a lot of attention as it is closely related to many philosophical fields such as the philosophy of mind and the philosophy of language.…”

Section: Philosophy Of Artificial Intelligence (Ai)mentioning

confidence: 99%

“…Intelligence can be thought of as the ability to reason, think and solve a problem, be able to understand language, learn and at the same time understand ideas. Research around AI try to understand these concepts by building systems that can understand language, be able to think, solve complex problems by themselves and as well learn based on past experiences (Marvin et al, 2023).…”

Section: Philosophy Of Artificial Intelligence (Ai)mentioning

confidence: 99%

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Philosophy of Information Technology

2024

IJPREMS

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Computing and Information Technology (IT) continues to offer many life-changing experiences across the globe. With the dynamism that comes with computing, human beings are changing how they traditionally used to do things. The Internet through the era of the information age has made the world to be like a small village where you can get information from any part of the world in just seconds. This has been made possible through social media, penetration of mobile technologies, cloud computing, internet of things and advancements in telecommunication equipment.The field of computing keeps on generating other new fields of study with computer science being the oldest field of study, computer engineering, software engineering, informatics, artificial intelligence and information technology, data science, and machine learning is among the new fields of study and research. Since the emergence of information technology in the 90s, this field has been integral in our day-to-day life and has changed how we interact and socialize. Even though this field has been in existence for nearly 30 years now, little has been done to understand the philosophical issues surrounding information technology.There have been life changing innovations that have been a target along the development and adoption of information technology. Through these advancements, now it is possible for a patient to get a prescription virtually. Information technology has penetrated all fields of sphere including transport industry using mobile devices to locate and request for services. Same innovations have been witnessed in the banking and financing industry where it is possible for users to access and transact on their mobile devices at the comfort of their homes.This paper discusses the history of computing, computer science and IT and the philosophical issues surrounding these fields. This paper reviews various philosophical issues in the field of computing and information technology taking into consideration new advancements.

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Section: Philosophy Of Artificial Intelligence (Ai)mentioning

confidence: 99%

Section: Philosophy Of Artificial Intelligence (Ai)mentioning

confidence: 99%

Philosophy of Information Technology

2024

IJPREMS

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“…The workshop will also cover prompt engineering strategies that can improve generative AI output. Examples include improving correctness by providing tests with the problem description (Murr, Grainger, and Gao 2023), summarizing the problem to provide clearer and more concise instructions (Busch et al 2023), and providing goals and context for the prompts (Marvin et al 2024).…”

Section: Professional Development Workhopmentioning

confidence: 99%

Leveraging Generative Artificial Intelligence to Broaden Participation in Computer Science

Jayachandran,

Maldikar,

Love

et al. 2024

AAAI-SS

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Generative Artificial Intelligence (AI) was incorporated into a competitive programming event that targeted undergraduate students, including those with little programming experience. The competition incorporated a range of challenge design approaches that promoted meaningful interaction with generative AI system, even while keeping the challenge difficulty level to an appropriate level. An analysis of survey responses and competition data showed that this format lowered barriers to participation, successfully engaged students throughout the competition, and increased the likelihood that they would participate in a similar event. In an extension of this work, a professional development workshop for high school teachers is being developed, along with a contest for high school students. Participant surveys and logs of interaction with the contest and generative AI systems will be analyzed to measure the effect of generative AI on student self-efficacy and suggest ways to integrate generative AI instruction into computer science curriculum.

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