From e16866009a9ed5ea578148724cb467eed687829e Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Mon, 20 Jan 2025 11:05:27 +0000 Subject: [PATCH] chore: update roadmap content json (#8077) Co-authored-by: kamranahmedse <4921183+kamranahmedse@users.noreply.github.com> --- public/roadmap-content/ai-engineer.json | 22 +++------------------- public/roadmap-content/frontend.json | 5 ----- 2 files changed, 3 insertions(+), 24 deletions(-) diff --git a/public/roadmap-content/ai-engineer.json b/public/roadmap-content/ai-engineer.json index 1c80bfca2..e1bb7b3a6 100644 --- a/public/roadmap-content/ai-engineer.json +++ b/public/roadmap-content/ai-engineer.json @@ -632,26 +632,10 @@ } ] }, - "lhIU0ulpvDAn1Xc3ooYz_": { + "bias-and-fareness@lhIU0ulpvDAn1Xc3ooYz_.md": { "title": "Bias and Fareness", - "description": "Bias and fairness in AI refer to the challenges of ensuring that machine learning models do not produce discriminatory or skewed outcomes. Bias can arise from imbalanced training data, flawed assumptions, or biased algorithms, leading to unfair treatment of certain groups based on race, gender, or other factors. Fairness aims to address these issues by developing techniques to detect, mitigate, and prevent biases in AI systems. Ensuring fairness involves improving data diversity, applying fairness constraints during model training, and continuously monitoring models in production to avoid unintended consequences, promoting ethical and equitable AI use.\n\nLearn more from the following resources:", - "links": [ - { - "title": "What Do We Do About the Biases in AI?", - "url": "https://hbr.org/2019/10/what-do-we-do-about-the-biases-in-ai", - "type": "article" - }, - { - "title": "AI Bias - What Is It and How to Avoid It?", - "url": "https://levity.ai/blog/ai-bias-how-to-avoid", - "type": "article" - }, - { - "title": "What about fairness, bias and discrimination?", - "url": "https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/artificial-intelligence/guidance-on-ai-and-data-protection/how-do-we-ensure-fairness-in-ai/what-about-fairness-bias-and-discrimination/", - "type": "article" - } - ] + "description": "", + "links": [] }, "sWBT-j2cRuFqRFYtV_5TK": { "title": "Security and Privacy Concerns", diff --git a/public/roadmap-content/frontend.json b/public/roadmap-content/frontend.json index 737802cfe..332ad81bc 100644 --- a/public/roadmap-content/frontend.json +++ b/public/roadmap-content/frontend.json @@ -1607,11 +1607,6 @@ "url": "https://developer.mozilla.org/en-US/docs/Web/HTTP/CSP", "type": "article" }, - { - "title": "Google Devs Content Security Policy (CSP)", - "url": "https://developers.google.com/web/fundamentals/security/csp", - "type": "article" - }, { "title": "Web.dev - Content Security Policy (CSP)", "url": "https://web.dev/csp/",