{"id":4328,"date":"2023-06-29T13:28:41","date_gmt":"2023-06-29T17:28:41","guid":{"rendered":"https:\/\/engineering.jhu.edu\/ctld\/?page_id=4328"},"modified":"2025-02-14T14:13:30","modified_gmt":"2025-02-14T19:13:30","slug":"ai-tools","status":"publish","type":"page","link":"https:\/\/engineering.jhu.edu\/ctld\/chatgpt\/ai-tools\/","title":{"rendered":"Generative AI Tools"},"content":{"rendered":"

[vc_row css=”.vc_custom_1636460314386{margin-bottom: 50px !important;}”][vc_column][vc_row_inner][vc_column_inner][vc_raw_html]JTVCbGF5ZXJzbGlkZXIlMjBpZCUzRCUyMjEwJTIyJTVE[\/vc_raw_html][\/vc_column_inner][\/vc_row_inner][vc_custom_heading text=”Generative AI” font_container=”tag:h1|text_align:left|color:%23012e5b” use_theme_fonts=”yes”][vc_column_text]Almost everyone in higher education is talking about ChatGPT\u2014but what is it and how does it work? In simple terms, ChatGPT uses generative AI technology, which is a form of artificial intelligence (AI) that specializes in producing new content. From images and text to music and videos, generative AI utilizes existing data to train models that recognize patterns and sequences. With this information tools are able to generate new content that mirrors the original data\u2014in the case of ChatGPT this takes the form of text-based responses to user prompts. <\/span>\u00a0<\/span>[\/vc_column_text][vc_custom_heading text=”Generative AI Tools – A Closer Look” font_container=”tag:h3|text_align:left|color:%23012e5b” use_theme_fonts=”yes”][vc_column_text]Since generative AI services such as ChatGPT excel at mimicking human-generated content, there are opportunities and risks in the application of these emerging technologies. It can be difficult to distinguish the outputs of these tools from human-generated content, so concerns in higher education center on potential risks to academic integrity<\/a>.\u00a0\u00a0<\/span>[\/vc_column_text][vc_row_inner][vc_column_inner width=”1\/2″][vc_single_image image=”4362″ img_size=”full”][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_column_text]Generative AI relies on advanced techniques like deep learning and generative models such as Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs). GANs feature two critical components – the generator and the discriminator. The generator creates new content, while the discriminator evaluates its authenticity against real data. By constantly iterating and improving the model, the generator and discriminator produce increasingly realistic and high-quality generated content.<\/span>\u00a0<\/span><\/p>\n

Since new AI tools and services are developed <\/span>almost daily<\/span>, it is difficult to maintain a comprehensive list of examples. However, the following link provides a curated list of examples, including ones<\/span> that come up in our conversations with faculty.<\/span>[\/vc_column_text][vc_btn title=”View Generative AI Tools” style=”gradient-custom” gradient_custom_color_1=”#002d72″ gradient_custom_color_2=”#0072ce” shape=”round” align=”center” link=”url:https%3A%2F%2Fgithub.com%2Fsteven2358%2Fawesome-generative-ai|target:_blank” el_class=”cldt-button”][\/vc_column_inner][\/vc_row_inner][vc_separator][vc_custom_heading text=”AI Detection Tools” font_container=”tag:h3|text_align:left|color:%23012e5b” use_theme_fonts=”yes”][vc_column_text css=””]Advancements in generative AI technologies are outpacing development of tools designed to detect their usage. While numerous AI detection tools (e.g., Turnitin<\/a>, GPTZero<\/a>, Copyleaks<\/a>, and Originality AI<\/a>) are available, testing indicates a wide range in the accuracy and efficacy of these tools\u2014including missed AI content detection and false positives. Because of this, CTLD does not endorse any AI detection tool.<\/span><\/span><\/span>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

[vc_row css=”.vc_custom_1636460314386{margin-bottom: 50px !important;}”][vc_column][vc_row_inner][vc_column_inner][vc_raw_html]JTVCbGF5ZXJzbGlkZXIlMjBpZCUzRCUyMjEwJTIyJTVE[\/vc_raw_html][\/vc_column_inner][\/vc_row_inner][vc_custom_heading text=”Generative AI” font_container=”tag:h1|text_align:left|color:%23012e5b” use_theme_fonts=”yes”][vc_column_text]Almost everyone in higher education is talking about ChatGPT\u2014but what is it and how does it work? In simple terms, ChatGPT uses generative …<\/a><\/p>\n","protected":false},"author":7,"featured_media":0,"parent":4228,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-fullwidth-no-title.php","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-4328","page","type-page","status-publish","hentry","odd"],"acf":[],"_links":{"self":[{"href":"https:\/\/engineering.jhu.edu\/ctld\/wp-json\/wp\/v2\/pages\/4328","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/engineering.jhu.edu\/ctld\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/engineering.jhu.edu\/ctld\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/engineering.jhu.edu\/ctld\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/engineering.jhu.edu\/ctld\/wp-json\/wp\/v2\/comments?post=4328"}],"version-history":[{"count":15,"href":"https:\/\/engineering.jhu.edu\/ctld\/wp-json\/wp\/v2\/pages\/4328\/revisions"}],"predecessor-version":[{"id":6180,"href":"https:\/\/engineering.jhu.edu\/ctld\/wp-json\/wp\/v2\/pages\/4328\/revisions\/6180"}],"up":[{"embeddable":true,"href":"https:\/\/engineering.jhu.edu\/ctld\/wp-json\/wp\/v2\/pages\/4228"}],"wp:attachment":[{"href":"https:\/\/engineering.jhu.edu\/ctld\/wp-json\/wp\/v2\/media?parent=4328"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}