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           <h2 class="subtitle is-3 publication-subtitle">Datafication And Distortion In Generative AI</h2>
           <div class="is-size-5 publication-authors">
             <span class="author-block">
-              <a href="https://www.cyberneticforests.com/">Eryk Salvaggio</a><sup>1</sup>,</span>
+              <a href="https://www.cyberneticforests.com/" target='_blank'>Eryk Salvaggio</a><sup>1</sup>,</span>
             <span class="author-block">
-              <a href="https://evijit.io">Avijit Ghosh</a><sup>2</sup></span>
+              <a href="https://evijit.io" target='_blank'>Avijit Ghosh</a><sup>2</sup></span>
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-              In a 2022 paper, <a href="https://arxiv.org/abs/2209.07667">Can There Be Art Without an Artist?</a>, Dr. Avijit Ghosh and Genoveva Fossas discussed the work of human artists within training data for generative AI tools. In the appendix, they connect the practice of scraping training data without consent to its precedents in the biological sphere, citing the case of Henrietta Lacks: 
+              In a 2022 paper, <a href="https://www.arxiv.org/abs/2209.07667" target='_blank'>Can There Be Art Without an Artist?</a>, Dr. Avijit Ghosh and Genoveva Fossas discussed the work of human artists within training data for generative AI tools. In the appendix, they connect the practice of scraping training data without consent to its precedents in the biological sphere, citing the case of Henrietta Lacks: 
             </p>
 
             <blockquote>
@@ -144,8 +144,8 @@
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     <h2 class="title">Bios</h2>
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-    <p><a href="https://cyberneticforests.com"><strong>Eryk Salvaggio</strong></a> is a researcher and new media artist interested in the social and cultural impacts of artificial intelligence. His work, which is centered in creative misuse and the right to refuse, critiques the mythologies and ideologies of technologies that ignore the gaps between datasets and the world they claim to represent. A blend of hacker, policy researcher, designer and artist, he has been published in academic journals and Tech Policy Press, spoken at music and film festivals, and consulted on tech policy at the national level.</p>
-    <p><a href="https://evijit.io"><strong>Dr. Avijit Ghosh</strong></a> is an Applied Policy Researcher in the Machine Learning and Society Team at <a href="https://huggingface.co/">Hugging Face 🤗</a>. He works at the intersection of machine learning, ethics, and policy, aiming to implement fair ML algorithms into the real world. He has published and peer-reviewed several research papers in top ML and AI Ethics venues, and has organized academic workshops as a member of <a href="https://www.queerinai.com/">QueerInAI.</a> His work has been covered in the press, including articles in <a href="https://www.nytimes.com/2023/08/16/technology/ai-defcon-hackers.html">The New York Times</a>, <a href="https://www.forbes.com/sites/rashishrivastava/2023/09/01/ai-red-teams-google-nvidia-microsoft-meta/">Forbes</a>, <a href="https://www.theguardian.com/technology/2024/mar/16/ai-racism-chatgpt-gemini-bias">The Guardian</a>, <a href="https://www.propublica.org/article/facebook-ads-can-still-discriminate-against-women-and-older-workers-despite-a-civil-rights-settlement">Propublica</a>, <a href="https://www.wired.com/story/new-york-city-proposes-regulating-algorithms-hiring/">Wired</a>, and the <a href="https://www.technologyreview.com/2021/02/11/1017955/auditors-testing-ai-hiring-algorithms-bias-big-questions-remain/">MIT Tech Review.</a> Dr. Ghosh has been an invited speaker as a Responsible AI expert, at events held by organizations such as  <a href="https://www.sxsw.com/">SXSW</a>,  <a href="https://www.trustworthyml.org/">Trustworthy ML Initiative</a>, <a href="https://avidml.org/arva/">AI Risk and Vulnerability Alliance</a>, and <a href="https://aivillage.org/">AI Village</a>. He has also engaged with policymakers, having spoken to <a href="https://www.linkedin.com/feed/update/urn:li:activity:7149203323592617984/">US Congressional Staffers</a> and to the <a href="https://www.gov.uk/government/organisations/centre-for-data-ethics-and-innovation">UK Government Centre for Data Ethics and Innovation</a>. His research and outreach have led to real-world impact, such as helping <a href="https://apnews.com/article/technology-business-race-and-ethnicity-racial-injustice-artificial-intelligence-2fe8d3ef7008d299d9d810f0c0f7905d">shape regulation in New York City</a> and causing Facebook to <a href="https://about.fb.com/news/2022/06/expanding-our-work-on-ads-fairness/">remove their biased ad targeting algorithm.</a></p>
+    <p><a href="https://www.cyberneticforests.com" target='_blank'><strong>Eryk Salvaggio</strong></a> is a researcher and new media artist interested in the social and cultural impacts of artificial intelligence. His work, which is centered in creative misuse and the right to refuse, critiques the mythologies and ideologies of technologies that ignore the gaps between datasets and the world they claim to represent. A blend of hacker, policy researcher, designer and artist, he has been published in academic journals and Tech Policy Press, spoken at music and film festivals, and consulted on tech policy at the national level.</p>
+    <p><a href="https://www.evijit.io" target='_blank'><strong>Dr. Avijit Ghosh</strong></a> is an Applied Policy Researcher in the Machine Learning and Society Team at <a href="https://www.huggingface.co/">Hugging Face 🤗</a>. He works at the intersection of machine learning, ethics, and policy, aiming to implement fair ML algorithms into the real world. He has published and peer-reviewed several research papers in top ML and AI Ethics venues, and has organized academic workshops as a member of <a href="https://www.queerinai.com/">QueerInAI.</a> His work has been covered in the press, including articles in <a href="https://www.nytimes.com/2023/08/16/technology/ai-defcon-hackers.html">The New York Times</a>, <a href="https://www.forbes.com/sites/rashishrivastava/2023/09/01/ai-red-teams-google-nvidia-microsoft-meta/">Forbes</a>, <a href="https://www.theguardian.com/technology/2024/mar/16/ai-racism-chatgpt-gemini-bias">The Guardian</a>, <a href="https://www.propublica.org/article/facebook-ads-can-still-discriminate-against-women-and-older-workers-despite-a-civil-rights-settlement">Propublica</a>, <a href="https://www.wired.com/story/new-york-city-proposes-regulating-algorithms-hiring/">Wired</a>, and the <a href="https://www.technologyreview.com/2021/02/11/1017955/auditors-testing-ai-hiring-algorithms-bias-big-questions-remain/">MIT Tech Review.</a> Dr. Ghosh has been an invited speaker as a Responsible AI expert, at events held by organizations such as  <a href="https://www.sxsw.com/">SXSW</a>,  <a href="https://www.trustworthyml.org/">Trustworthy ML Initiative</a>, <a href="https://avidml.org/arva/">AI Risk and Vulnerability Alliance</a>, and <a href="https://aivillage.org/">AI Village</a>. He has also engaged with policymakers, having spoken to <a href="https://www.linkedin.com/feed/update/urn:li:activity:7149203323592617984/">US Congressional Staffers</a> and to the <a href="https://www.gov.uk/government/organisations/centre-for-data-ethics-and-innovation">UK Government Centre for Data Ethics and Innovation</a>. His research and outreach have led to real-world impact, such as helping <a href="https://apnews.com/article/technology-business-race-and-ethnicity-racial-injustice-artificial-intelligence-2fe8d3ef7008d299d9d810f0c0f7905d">shape regulation in New York City</a> and causing Facebook to <a href="https://about.fb.com/news/2022/06/expanding-our-work-on-ads-fairness/">remove their biased ad targeting algorithm.</a></p>
 
   
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-            Page built off of the <a href="https://github.com/nerfies/nerfies.github.io">nerfiles source code</a>.
+            Page built off of the <a href="https://www.github.com/nerfies/nerfies.github.io">nerfiles source code</a>.
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