{ "cells": [ { "cell_type": "markdown", "id": "c03a8c3e-a693-4037-813e-b0c30dcbd931", "metadata": { "execution": {} }, "source": [ "\"Open   \"Open" ] }, { "cell_type": "markdown", "id": "82ed61a3-87d2-4e76-83f6-4b786c101af2", "metadata": { "execution": {} }, "source": [ "# Tutorial 2: Ethics\n", "\n", "**Week 2, Day 5: Mysteries**\n", "\n", "**By Neuromatch Academy**\n", "\n", "__Content creators:__ Megan Peters, Joshua Shepherd, Jana Schaich Borg\n", "\n", "__Content reviewers:__ Samuele Bolotta, Lily Chamakura, RyeongKyung Yoon, Yizhou Chen, Ruiyi Zhang\n", "\n", "__Production editors:__ Konstantine Tsafatinos, Ella Batty, Spiros Chavlis, Samuele Bolotta, Hlib Solodzhuk\n" ] }, { "cell_type": "markdown", "id": "6366c740-80c7-4545-b688-d547ef79613e", "metadata": { "execution": {} }, "source": [ "___\n", "\n", "\n", "# Tutorial Objectives\n", "\n", "*Estimated timing of tutorial: 30-50 minutes (depends on chosen trajectory; see below)*\n", "\n", "By the end of this tutorial, participants will be able to:\n", "\n", "1. Understand the relationship between consciousness, intelligence, and moral status.\n", "2. Discuss responsible, moral, ethical, and safe artificial intelligence.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n" ] }, { "cell_type": "code", "execution_count": null, "id": "af4fa9f7-d9cc-4594-be41-b31f02af1bd4", "metadata": { "cellView": "form", "execution": {}, "tags": [ "remove-input" ] }, "outputs": [], "source": [ "# @markdown\n", "from IPython.display import IFrame\n", "from ipywidgets import widgets\n", "out = widgets.Output()\n", "with out:\n", " print(f\"If you want to download the slides: https://osf.io/download/s3py5/\")\n", " display(IFrame(src=f\"https://mfr.ca-1.osf.io/render?url=https://osf.io/s3py5/?direct%26mode=render%26action=download%26mode=render\", width=730, height=410))\n", "display(out)" ] }, { "cell_type": "markdown", "id": "2675d5e8-0846-48b9-a24c-2f1d6c27b36f", "metadata": { "execution": {} }, "source": [ "---\n", "# Setup" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Install and import feedback gadget\n" ] }, { "cell_type": "code", "execution_count": null, "id": "b8221ea8-a399-45aa-9ade-10f5d8adf318", "metadata": { "cellView": "form", "execution": {}, "tags": [ "hide-input" ] }, "outputs": [], "source": [ "# @title Install and import feedback gadget\n", "\n", "!pip install vibecheck --quiet\n", "\n", "from vibecheck import DatatopsContentReviewContainer\n", "def content_review(notebook_section: str):\n", " return DatatopsContentReviewContainer(\n", " \"\", # No text prompt\n", " notebook_section,\n", " {\n", " \"url\": \"https://pmyvdlilci.execute-api.us-east-1.amazonaws.com/klab\",\n", " \"name\": \"neuromatch_neuroai\",\n", " \"user_key\": \"wb2cxze8\",\n", " },\n", " ).render()\n", "\n", "feedback_prefix = \"W2D5_T2\"" ] }, { "cell_type": "markdown", "id": "9480bb32", "metadata": { "execution": {} }, "source": [ "---\n", "# Section 1: Ethics Intro & Moral Status\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Video 1: Ethics Lecture 1\n" ] }, { "cell_type": "code", "execution_count": null, "id": "e82bb887-427b-49e8-b86a-235e1095af75", "metadata": { "cellView": "form", "execution": {}, "tags": [ "remove-input" ] }, "outputs": [], "source": [ "# @title Video 1: Ethics Lecture 1\n", "\n", "from ipywidgets import widgets\n", "from IPython.display import YouTubeVideo\n", "from IPython.display import IFrame\n", "from IPython.display import display\n", "\n", "class PlayVideo(IFrame):\n", " def __init__(self, id, source, page=1, width=400, height=300, **kwargs):\n", " self.id = id\n", " if source == 'Bilibili':\n", " src = f'https://player.bilibili.com/player.html?bvid={id}&page={page}'\n", " elif source == 'Osf':\n", " src = f'https://mfr.ca-1.osf.io/render?url=https://osf.io/download/{id}/?direct%26mode=render'\n", " super(PlayVideo, self).__init__(src, width, height, **kwargs)\n", "\n", "def display_videos(video_ids, W=400, H=300, fs=1):\n", " tab_contents = []\n", " for i, video_id in enumerate(video_ids):\n", " out = widgets.Output()\n", " with out:\n", " if video_ids[i][0] == 'Youtube':\n", " video = YouTubeVideo(id=video_ids[i][1], width=W,\n", " height=H, fs=fs, rel=0)\n", " print(f'Video available at https://youtube.com/watch?v={video.id}')\n", " else:\n", " video = PlayVideo(id=video_ids[i][1], source=video_ids[i][0], width=W,\n", " height=H, fs=fs, autoplay=False)\n", " if video_ids[i][0] == 'Bilibili':\n", " print(f'Video available at https://www.bilibili.com/video/{video.id}')\n", " elif video_ids[i][0] == 'Osf':\n", " print(f'Video available at https://osf.io/{video.id}')\n", " display(video)\n", " tab_contents.append(out)\n", " return tab_contents\n", "\n", "video_ids = [('Youtube', 'sr4OqGJAvNY'), ('Bilibili', 'BV1Ww4m1v7hk')]\n", "tab_contents = display_videos(video_ids, W=730, H=410)\n", "tabs = widgets.Tab()\n", "tabs.children = tab_contents\n", "for i in range(len(tab_contents)):\n", " tabs.set_title(i, video_ids[i][0])\n", "display(tabs)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Submit your feedback\n" ] }, { "cell_type": "code", "execution_count": null, "id": "d6349841-fb75-45d5-a554-2358b95b249a", "metadata": { "cellView": "form", "execution": {}, "tags": [ "hide-input" ] }, "outputs": [], "source": [ "# @title Submit your feedback\n", "content_review(f\"{feedback_prefix}_Video_1\")" ] }, { "cell_type": "markdown", "id": "3ed12923", "metadata": { "execution": {} }, "source": [ "## Discussion activity: moral status" ] }, { "cell_type": "markdown", "id": "163da14e-a534-4ef9-bbce-05da5428bdd2", "metadata": { "cellView": "form", "execution": {} }, "source": [ "There are many reasons to ascribe moral status to some system, depending upon one's view of the grounds of moral status.\n", "\n", "**Discuss!** What is your view (or your intuition) about what is important for moral status -- consciousness, affective consciousness, cognitive sophistication, etc. -- and what would this view imply about how we approach design of and interaction with different forms of AI?\n", "\n", "Both rooms are the same discussion topic." ] }, { "cell_type": "markdown", "id": "8440d701", "metadata": { "execution": {} }, "source": [ "---\n", "# Section 2: Ethical AI\n", "Before starting the next sections, see how much time you have left in today's schedule.\n", "\n", "If you have at least 30 minutes left, you should do both of the following sections all together as one group. If you have less than 30 minutes left, you should split into 2 groups and do the next 2 sections in parallel, then come back together and discuss.\n", "\n", "![Ethics roadmap.](https://github.com/neuromatch/NeuroAI_Course/blob/main/tutorials/W2D5_Mysteries/static/ethics_roadmap.png?raw=true)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Video 2: Ethics Lecture 2\n" ] }, { "cell_type": "code", "execution_count": null, "id": "1c509ffd-286f-47a0-bb32-38f5cfa9a642", "metadata": { "cellView": "form", "execution": {}, "tags": [ "remove-input" ] }, "outputs": [], "source": [ "# @title Video 2: Ethics Lecture 2\n", "\n", "from ipywidgets import widgets\n", "from IPython.display import YouTubeVideo\n", "from IPython.display import IFrame\n", "from IPython.display import display\n", "\n", "class PlayVideo(IFrame):\n", " def __init__(self, id, source, page=1, width=400, height=300, **kwargs):\n", " self.id = id\n", " if source == 'Bilibili':\n", " src = f'https://player.bilibili.com/player.html?bvid={id}&page={page}'\n", " elif source == 'Osf':\n", " src = f'https://mfr.ca-1.osf.io/render?url=https://osf.io/download/{id}/?direct%26mode=render'\n", " super(PlayVideo, self).__init__(src, width, height, **kwargs)\n", "\n", "def display_videos(video_ids, W=400, H=300, fs=1):\n", " tab_contents = []\n", " for i, video_id in enumerate(video_ids):\n", " out = widgets.Output()\n", " with out:\n", " if video_ids[i][0] == 'Youtube':\n", " video = YouTubeVideo(id=video_ids[i][1], width=W,\n", " height=H, fs=fs, rel=0)\n", " print(f'Video available at https://youtube.com/watch?v={video.id}')\n", " else:\n", " video = PlayVideo(id=video_ids[i][1], source=video_ids[i][0], width=W,\n", " height=H, fs=fs, autoplay=False)\n", " if video_ids[i][0] == 'Bilibili':\n", " print(f'Video available at https://www.bilibili.com/video/{video.id}')\n", " elif video_ids[i][0] == 'Osf':\n", " print(f'Video available at https://osf.io/{video.id}')\n", " display(video)\n", " tab_contents.append(out)\n", " return tab_contents\n", "\n", "video_ids = [('Youtube', 'JlDbdaQtlaY'), ('Bilibili', 'BV1Cx4y1J7P8')]\n", "tab_contents = display_videos(video_ids, W=730, H=410)\n", "tabs = widgets.Tab()\n", "tabs.children = tab_contents\n", "for i in range(len(tab_contents)):\n", " tabs.set_title(i, video_ids[i][0])\n", "display(tabs)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Submit your feedback\n" ] }, { "cell_type": "code", "execution_count": null, "id": "06b9fca7-2d82-488f-8308-15667b56129b", "metadata": { "cellView": "form", "execution": {}, "tags": [ "hide-input" ] }, "outputs": [], "source": [ "# @title Submit your feedback\n", "content_review(f\"{feedback_prefix}_Video_2\")" ] }, { "cell_type": "markdown", "id": "13543770", "metadata": { "execution": {} }, "source": [ "## Discussion activity: Can AI be safe? Can it respect privacy? Can AI (or its creators/users) be responsible?" ] }, { "cell_type": "markdown", "id": "4026218b-41e9-4a51-8500-2fdbbd21d289", "metadata": { "execution": {} }, "source": [ "**Discuss!**\n", "- Room 1: How can we maximize AI safety?\n", "- Room 2: How can we protect our privacy from AI threats?\n", "- Room 3: How can we decide who is responsible for AI behavior?" ] }, { "cell_type": "markdown", "id": "cea67fca-3de1-4cd9-955d-1cad73927488", "metadata": { "execution": {} }, "source": [ "---\n", "# Section 3: Fair AI" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Video 3: Ethics Lecture 3\n" ] }, { "cell_type": "code", "execution_count": null, "id": "135c1a8f-fe65-4c6b-a20b-10f7a9392715", "metadata": { "cellView": "form", "execution": {}, "tags": [ "remove-input" ] }, "outputs": [], "source": [ "# @title Video 3: Ethics Lecture 3\n", "\n", "from ipywidgets import widgets\n", "from IPython.display import YouTubeVideo\n", "from IPython.display import IFrame\n", "from IPython.display import display\n", "\n", "class PlayVideo(IFrame):\n", " def __init__(self, id, source, page=1, width=400, height=300, **kwargs):\n", " self.id = id\n", " if source == 'Bilibili':\n", " src = f'https://player.bilibili.com/player.html?bvid={id}&page={page}'\n", " elif source == 'Osf':\n", " src = f'https://mfr.ca-1.osf.io/render?url=https://osf.io/download/{id}/?direct%26mode=render'\n", " super(PlayVideo, self).__init__(src, width, height, **kwargs)\n", "\n", "def display_videos(video_ids, W=400, H=300, fs=1):\n", " tab_contents = []\n", " for i, video_id in enumerate(video_ids):\n", " out = widgets.Output()\n", " with out:\n", " if video_ids[i][0] == 'Youtube':\n", " video = YouTubeVideo(id=video_ids[i][1], width=W,\n", " height=H, fs=fs, rel=0)\n", " print(f'Video available at https://youtube.com/watch?v={video.id}')\n", " else:\n", " video = PlayVideo(id=video_ids[i][1], source=video_ids[i][0], width=W,\n", " height=H, fs=fs, autoplay=False)\n", " if video_ids[i][0] == 'Bilibili':\n", " print(f'Video available at https://www.bilibili.com/video/{video.id}')\n", " elif video_ids[i][0] == 'Osf':\n", " print(f'Video available at https://osf.io/{video.id}')\n", " display(video)\n", " tab_contents.append(out)\n", " return tab_contents\n", "\n", "video_ids = [('Youtube', 'L4lOUNRRC88'), ('Bilibili', 'BV1Sw4m1v7S2')]\n", "tab_contents = display_videos(video_ids, W=730, H=410)\n", "tabs = widgets.Tab()\n", "tabs.children = tab_contents\n", "for i in range(len(tab_contents)):\n", " tabs.set_title(i, video_ids[i][0])\n", "display(tabs)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Submit your feedback\n" ] }, { "cell_type": "code", "execution_count": null, "id": "c57f44e6-4dbb-43d8-be2a-cd4491553e8f", "metadata": { "cellView": "form", "execution": {}, "tags": [ "hide-input" ] }, "outputs": [], "source": [ "# @title Submit your feedback\n", "content_review(f\"{feedback_prefix}_Video_3\")" ] }, { "cell_type": "markdown", "id": "0db27e0b", "metadata": { "execution": {} }, "source": [ "## Discussion activity: Can AI be fair? Can it exhibit human-like morality?" ] }, { "cell_type": "markdown", "id": "2e7189a7-549d-47d0-8dcb-24fd69e22892", "metadata": { "cellView": "form", "execution": {} }, "source": [ "**Discuss!**\n", "- Room 1: What can we do to help AI be more fair?\n", "-- better training data? interpretable/explainable AI? alignment?\n", "\n", "- Room 2: What else can we do to help AI be more moral?\n", "-- Is the top-down, bottom-up, or hybrid approach more promising? Why?" ] }, { "cell_type": "markdown", "id": "e32dffe6-7f2a-4a6f-b870-cfab806d0f2a", "metadata": { "execution": {} }, "source": [ "---\n", "# Summary" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Video 4: Ethics Lecture 4\n" ] }, { "cell_type": "code", "execution_count": null, "id": "792b9c7f-c5ab-4148-93db-d15789c041bc", "metadata": { "cellView": "form", "execution": {}, "tags": [ "remove-input" ] }, "outputs": [], "source": [ "# @title Video 4: Ethics Lecture 4\n", "\n", "from ipywidgets import widgets\n", "from IPython.display import YouTubeVideo\n", "from IPython.display import IFrame\n", "from IPython.display import display\n", "\n", "class PlayVideo(IFrame):\n", " def __init__(self, id, source, page=1, width=400, height=300, **kwargs):\n", " self.id = id\n", " if source == 'Bilibili':\n", " src = f'https://player.bilibili.com/player.html?bvid={id}&page={page}'\n", " elif source == 'Osf':\n", " src = f'https://mfr.ca-1.osf.io/render?url=https://osf.io/download/{id}/?direct%26mode=render'\n", " super(PlayVideo, self).__init__(src, width, height, **kwargs)\n", "\n", "def display_videos(video_ids, W=400, H=300, fs=1):\n", " tab_contents = []\n", " for i, video_id in enumerate(video_ids):\n", " out = widgets.Output()\n", " with out:\n", " if video_ids[i][0] == 'Youtube':\n", " video = YouTubeVideo(id=video_ids[i][1], width=W,\n", " height=H, fs=fs, rel=0)\n", " print(f'Video available at https://youtube.com/watch?v={video.id}')\n", " else:\n", " video = PlayVideo(id=video_ids[i][1], source=video_ids[i][0], width=W,\n", " height=H, fs=fs, autoplay=False)\n", " if video_ids[i][0] == 'Bilibili':\n", " print(f'Video available at https://www.bilibili.com/video/{video.id}')\n", " elif video_ids[i][0] == 'Osf':\n", " print(f'Video available at https://osf.io/{video.id}')\n", " display(video)\n", " tab_contents.append(out)\n", " return tab_contents\n", "\n", "video_ids = [('Youtube', 'BCxTkaqqn2E'), ('Bilibili', 'BV1MJ4m137V2')]\n", "tab_contents = display_videos(video_ids, W=730, H=410)\n", "tabs = widgets.Tab()\n", "tabs.children = tab_contents\n", "for i in range(len(tab_contents)):\n", " tabs.set_title(i, video_ids[i][0])\n", "display(tabs)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Submit your feedback\n" ] }, { "cell_type": "code", "execution_count": null, "id": "fdcb974a-95bc-478d-9b3e-69d4270857dd", "metadata": { "cellView": "form", "execution": {}, "tags": [ "hide-input" ] }, "outputs": [], "source": [ "# @title Submit your feedback\n", "content_review(f\"{feedback_prefix}_Video_4\")" ] } ], "metadata": { "colab": { "collapsed_sections": [], "include_colab_link": true, "name": "W2D5_Tutorial2", "toc_visible": true }, "kernel": { "display_name": "Python 3", "language": "python", "name": "python3" }, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.19" } }, "nbformat": 4, "nbformat_minor": 5 }