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This paper discusses about the ImageNet dataset and how the bias in dataset was removed by filtering most of the synsets and balancing according to age, gender and color.</li> <li><a href="https://brief.montrealethics.ai/" rel="nofollow"><strong>The AI Ethics Brief</strong></a> newsletter by Montreal AI Ethics Institute, with a section on <a href="https://montrealethics.ai/category/columns/the-ethics-of-computer-vision/" rel="nofollow">Computer Vision</a>. The newsletter is a must read for learners and practitioners in the field.</li> <li><a href="https://ethics-of-ai.mooc.fi/" rel="nofollow"><strong>Ethics of AI</strong></a> MOOC by University of Helsinki.</li> <li><a href="https://stanfordaiethics.github.io/" rel="nofollow"><strong>CS 281</strong></a> Ethics of AI Course by Stanford University.</li> <li><a href="https://ocw.mit.edu/courses/res-10-002-ethics-of-ai-bias-spring-2023/" rel="nofollow"><strong>Ethics of AI Bias</strong></a> course by MIT OCW.</li>`,_,c,v,u,x;return i=new j({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),o=new V({props:{title:"Supplementary reading and resources 🤗🌎",local:"supplementary-reading-and-resources-",headingTag:"h1"}}),c=new W({props:{source:"https://github.com/huggingface/computer-vision-course/blob/main/chapters/en/unit12/supplementary-material.mdx"}}),{c(){n=g("meta"),d=h(),m=g("p"),w=h(),E(i.$$.fragment),y=h(),E(o.$$.fragment),b=h(),r=g("p"),r.textContent=M,$=h(),l=g("ul"),l.innerHTML=P,_=h(),E(c.$$.fragment),v=h(),u=g("p"),this.h()},l(e){const t=D("svelte-u9bgzb",document.head);n=p(t,"META",{name:!0,content:!0}),t.forEach(a),d=f(e),m=p(e,"P",{}),L(m).forEach(a),w=f(e),C(i.$$.fragment,e),y=f(e),C(o.$$.fragment,e),b=f(e),r=p(e,"P",{"data-svelte-h":!0}),F(r)!=="svelte-1evq1v1"&&(r.textContent=M),$=f(e),l=p(e,"UL",{"data-svelte-h":!0}),F(l)!=="svelte-tqz9id"&&(l.innerHTML=P),_=f(e),C(c.$$.fragment,e),v=f(e),u=p(e,"P",{}),L(u).forEach(a),this.h()},h(){B(n,"name","hf:doc:metadata"),B(n,"content",K)},m(e,t){N(document.head,n),s(e,d,t),s(e,m,t),s(e,w,t),I(i,e,t),s(e,y,t),I(o,e,t),s(e,b,t),s(e,r,t),s(e,$,t),s(e,l,t),s(e,_,t),I(c,e,t),s(e,v,t),s(e,u,t),x=!0},p:U,i(e){x||(T(i.$$.fragment,e),T(o.$$.fragment,e),T(c.$$.fragment,e),x=!0)},o(e){S(i.$$.fragment,e),S(o.$$.fragment,e),S(c.$$.fragment,e),x=!1},d(e){e&&(a(d),a(m),a(w),a(y),a(b),a(r),a($),a(l),a(_),a(v),a(u)),a(n),A(i,e),A(o,e),A(c,e)}}}const K='{"title":"Supplementary reading and resources 🤗🌎","local":"supplementary-reading-and-resources-","sections":[],"depth":1}';function R(H){return k(()=>{new URLSearchParams(window.location.search).get("fw")}),[]}class Z extends q{constructor(n){super(),z(this,n,R,G,O,{})}}export{Z as component};
