Awesome-ai-safety Alternatives

awesome-ai-safety reviews and mentions

• Ask HN: Who is hiring? (October 2023)
  9 projects | news.ycombinator.com | 2 Oct 2023

  Giskard - Testing framework for ML models| Multiple roles | Full-time | France | https://giskard.ai/

  We are building the first collaborative & open-source Quality Assurance platform for all ML models - including Large Language Models.

  Founded in 2021 in Paris by ex-Dataiku engineers, we are an emerging player in the fast-growing market of AI Quality & Safety.

  Giskard helps Data Scientists & ML Engineering teams collaborate to evaluate, test & monitor AI models. We help organizations increase the efficiency of their AI development workflow, eliminate risks of AI biases and ensure robust, reliable & ethical AI models. Our open-source platform is used by dozens of ML teams across industries, both at enterprise companies & startups.

  In 2022, we raised our first round of 1.5 million euros, led by Elaia, with participation from Bessemer and notable angel investors including the CTO of Hugging Face. To read more about this fundraising and how it will accelerate our growth, you can read this announcement: https://www.giskard.ai/knowledge/news-fundraising-2022

  In 2023, we received a strategic investment from the European Commission to build a SaaS platform to automate compliance with the upcoming EU AI regulation. You can read more here: https://www.giskard.ai/knowledge/1-000-github-stars-3meu-and...

  We are assembling a team of champions: Software Engineers, Machine Learning researchers, and Data Scientists ; to build our AI Quality platform and expand it to new types of AI models and industries. We have a culture of continuous learning & quality, and we help each other achieve high standards & goals!

  We aim to grow from 15 to 25 people in the next 12 months. We're hiring the following roles:

• Ask HN: Who is hiring? (August 2023)
  13 projects | news.ycombinator.com | 1 Aug 2023

  Giskard - Testing framework for ML models| Multiple roles | Full-time | France | https://giskard.ai/

  We are building the first collaborative & open-source Quality Assurance platform for all ML models - including Large Language Models.

  Founded in 2021 in Paris by ex-Dataiku engineers, we are an emerging player in the fast-growing market of AI Safety & Security.

  Giskard helps Data Scientists & ML Engineering teams collaborate to evaluate, test & monitor AI models. We help organizations increase the efficiency of their AI development workflow, eliminate risks of AI biases and ensure robust, reliable & ethical AI models. Our open-source platform is used by dozens of ML teams across industries, both at enterprise companies & startups.

  In 2022, we raised our first round of 1.5 million euros, led by Elaia, with participation from Bessemer and notable angel investors including the CTO of Hugging Face. To read more about this fundraising and how it will accelerate our growth, you can read this announcement: https://www.giskard.ai/knowledge/news-fundraising-2022

  In 2023, we received a strategic investment from the European Commission to build a SaaS platform to automate compliance with the upcoming EU AI regulation. You can read more here: https://www.giskard.ai/knowledge/1-000-github-stars-3meu-and...

  We are assembling a team of champions: Software Engineers, Machine Learning researchers, and Data Scientists ; to build our AI Quality platform and expand it to new types of AI models and industries. We have a culture of continuous learning & quality, and we help each other achieve high standards & goals!

  We aim to grow from 15 to 25 people in the next 12 months. We're hiring the following roles:

  * Software Engineer - https://apply.workable.com/giskard/j/AD2C90B581/ (Python, Java, Typescript, Vue.js, Cloud skills)

  * Machine Learning Researcher - https://apply.workable.com/giskard/j/E89FE8E310/ (post-PhD)

  * Data Science lead - https://apply.workable.com/giskard/j/E89FE8E310/ (ML + consulting experience required)

  * Growth marketing intern - https://apply.workable.com/giskard/j/C8635E9B0C/

  * Data Science intern - https://apply.workable.com/giskard/j/7F0B341852/

• Show HN: Python library to scan ML models for vulnerabilities
  2 projects | news.ycombinator.com | 13 Jun 2023

  Hi! I’ve been working on this automatic scanner for ML models to detect issues like underperforming data slices, overconfidence in predictions, robustness problems, and others. It supports all main Python ML frameworks (sklearn, torch, xgboost, …) and integrates with the quality assurance solution we are building at Giskard AI (https://giskard.ai) to systematically test models before putting them in production.

  It is still a beta and I would love to hear your feedback if you have the time to try it out.

  We have quite a few tutorials in the docs with ready-made colab notebooks to make it easy to get started.

  If you are interested in the code:

  https://github.com/Giskard-AI/giskard/tree/main/python-clien...

• [R] Awesome AI Safety – A curated list of papers & technical articles on AI Quality & Safety
  1 project | /r/MachineLearning | 5 May 2023

  Repository: https://github.com/Giskard-AI/awesome-ai-safety

• AI Safety – curated papers for safer, ethical, and reliable AI
  1 project | news.ycombinator.com | 5 May 2023
• A note from our sponsor - SaaSHub
  www.saashub.com | 1 May 2024

  SaaSHub helps you find the best software and product alternatives Learn more →