Researcher in Computational Trust, Privacy, Security and Artificial Intelligence Zola 2026-04-24T00:00:00+00:00 https://anirbanbasu.netlify.app/tags/data/atom.xml 2020-06-12T00:00:00+00:00 2026-04-24T00:00:00+00:00 Anirban Basu https://anirbanbasu.netlify.app/publications/marsh2020thinking/ <!-- citation: marsh2020thinking --> <h3><i>Stephen Marsh, Tosan Atele-Williams, <u>Anirban Basu</u>, Natasha Dwyer, Peter R. Lewis, Hector Miller-Bakewell and Jeremy Pitt</i></h3> <div><b>Abstract:</b> This brief paper is about trust. It explores the phenomenon from various angles, with the implicit assumptions that trust can be measured in some ways, that trust can be compared and rated, and that trust is of worth when we consider entities from data, through artificial intelligences, to humans, with side trips along the way to animals. It explores trust systems and trust empowerment as opposed to trust enforcement, the creation of trust models, applications of trust, and the reasons why trust is of worth.</div> <table class="table-publication-metadata"> <tbody> <tr> <th scope="col">day</th> <td>12</td> </tr> <tr> <th scope="col">doi</th> <td><a href="https://doi.org/10.1016/j.patter.2020.100039" target="_blank">10.1016/j.patter.2020.100039</a></td> </tr> <tr> <th scope="col">issue</th> <td>3</td> </tr> <tr> <th scope="col">journal</th> <td>Elsevier Cell Patterns</td> </tr> <tr> <th scope="col">keywords</th> <td>trust, trustworthiness, data, people, trust-empowerment, artificial-intelligence</td> </tr> <tr> <th scope="col">month</th> <td>06</td> </tr> <tr> <th scope="col">publisher</th> <td>Elsevier</td> </tr> <tr> <th scope="col">volume</th> <td>1</td> </tr> </tbody> </table> <details> <summary>Cite this publication, using BibTeX</summary> <pre class="giallo" style="color: #F8F8F2; background-color: #272822;" ><code data-lang="bibtex"><span class="giallo-l"><span style="color: #F92672;">@article</span><span>{</span><span style="color: #A6E22E;text-decoration: underline;">marsh2020thinking</span><span>,</span></span> <span class="giallo-l"><span style="color: #66D9EF;"> abstract</span><span> = {This brief paper is about trust. It explores the phenomenon from various angles, with the implicit assumptions that trust can be measured in some ways, that trust can be compared and rated, and that trust is of worth when we consider entities from data, through artificial intelligences, to humans, with side trips along the way to animals. It explores trust systems and trust empowerment as opposed to trust enforcement, the creation of trust models, applications of trust, and the reasons why trust is of worth.},</span></span> <span class="giallo-l"><span style="color: #66D9EF;"> author</span><span> = {Marsh, Stephen and Atele-Williams, Tosan and Basu, Anirban and Dwyer, Natasha and Lewis, Peter R.\ and Miller-Bakewell, Hector and Pitt, Jeremy},</span></span> <span class="giallo-l"><span style="color: #66D9EF;"> day</span><span> = {12},</span></span> <span class="giallo-l"><span style="color: #66D9EF;"> doi</span><span> = {10.1016/j.patter.2020.100039},</span></span> <span class="giallo-l"><span style="color: #66D9EF;"> issue</span><span> = {3},</span></span> <span class="giallo-l"><span style="color: #66D9EF;"> journal</span><span> = {Elsevier Cell Patterns},</span></span> <span class="giallo-l"><span style="color: #66D9EF;"> keywords</span><span> = {trust;trustworthiness;data;people;trust empowerment;artificial intelligence},</span></span> <span class="giallo-l"><span style="color: #66D9EF;"> month</span><span> = {June},</span></span> <span class="giallo-l"><span style="color: #66D9EF;"> publisher</span><span> = {Elsevier},</span></span> <span class="giallo-l"><span style="color: #66D9EF;"> title</span><span> = {Thinking about Trust: People, Process, and Place},</span></span> <span class="giallo-l"><span style="color: #66D9EF;"> volume</span><span> = {1},</span></span> <span class="giallo-l"><span style="color: #66D9EF;"> year</span><span> = {2020},</span></span> <span class="giallo-l"><span>}</span></span></code></pre></details>