心智與數位科技

Mind and Digital Technology

學期

112-2

學分

3 學分

當期課號

133105

永久課號

SHPH30034

開課單位

心智哲學研究所

授課教師

林映彤

校區

陽明

類別

必修

上課時間表

節	週五
3 10:10–11:00	心智與數位科技 YX206 3 節連堂
4 11:10–12:00
N 12:20–13:10

* 根據陽明交大上課時間表所列

概述

Course descriptions and objectives: Digital technology is an integral part of our lives, and its influence is pervasive. This course focuses on the issues that lie at the intersection between mind and advanced digital technology, including machine learning, deep learning, large language models. Key questions we will tackle include: - When contrasting human intelligence with artificial intelligence, do certain technologies exhibit characteristics commonly associated with the human mind, such as perception, memory, imagination, attention, social and moral cognition, creativity, agency, and consciousness? - In what ways does digital technologies influence our cognitive processes and various aspects of our lives such as learning, decision-making, agency, creativity, identity, and employment? - What can philosophy of mind teach us about the future of AI, and what can the development of AI teach us about the future of the mind? By examining the literature and arguments, you will familiarize yourself with these issues and develop the ability to analyze and be critical to philosophical arguments.

教學方式

Google classroom

評分方式

Discussions and participation: 20% Comments on weekly reading assignments (0.5 page): 40% Term paper (4000 words/2000 words): 40%

週次計畫

週次	主題
第 1 週	Introduction
第 2 週	Moderate empiricism and machine learning DLRM, chapter 1
第 3 週	What is deep learning, and how should we evaluate its potential? DLRM, chapter 2
第 4 週	Perception (in natural and artificial intelligence) DLRM, chapter 3
第 5 週	Memory (in natural and artificial intelligence) DLRM, chapter 4
第 6 週	Imagination (in natural and artificial intelligence) DLRM, chapter 5
第 7 週	Attention (in natural and artificial intelligence) DLRM, chapter 6
第 8 週	Social and moral cognition (in natural and artificial intelligence) DLRM, chapter 7
第 9 週	Metacognition in large language models Kadavath, Saurav, Tom Conerly, Amanda Askell, Tom Henighan, Dawn Drain, Ethan Perez, Nicholas Schiefer, et al. ‘Language Models (Mostly) Know What They Know’. arXiv, 21 November 2022.
第 10 週	Agency in human-computer interaction Madary, Michael (2022). The Illusion of Agency in Human–Computer Interaction. Neuroethics 15 (1):1-15.
第 11 週	Agency in AI systems Andrada, Gloria ; Clowes, Robert William & Smart, Paul (2023). Varieties of transparency: exploring agency within AI systems. AI and Society 38 (4):1321-1331.
第 12 週	Creativity in human-technology relations Blok, Vincent (2022). The Role of Human Creativity in Human-Technology Relations. Philosophy and Technology 1 (3):1-19.
第 13 週	Creativity of Large language models Franceschelli, Giorgio, and Mirco Musolesi. ‘On the Creativity of Large Language Models’. arXiv, 9 July 2023.
第 14 週	Opacity of human and artificial decision-making Peters, Uwe (forthcoming). Explainable AI lacks regulative reasons: why AI and human decision‐making are not equally opaque. AI and Ethics.
第 15 週	Shaping future minds Madary, Michael (2022). Engineering the Minds of the Future: An Intergenerational Approach to Cognitive Technology. Axiomathes 32 (6):1281-1295.
第 16 週	General discussion

教科書

Buckner, Cameron (2023). From Deep Learning to Rational Machines: What the History of Philosophy Can Teach Us about the Future of Artificial Intelligence. Oxford University Press. [DLRM] Hipólito, Inês ; Clowes, Robert William & Gärtner, Klaus (eds.) (2021). The Mind-Technology Problem : Investigating Minds, Selves and 21st Century Artefacts. Springer Verlag.

Office Hours

地點: Online
時間: By appointment
聯絡方式: linyingtung@nycu.edu.tw