RSS DS+AI Section

The RSS DS+AI Section Substack is dedicated to the professional development, research advancements, and ethical considerations within the field of Data Science and AI. It provides updates on committee activities, industry news, ethical debates, and practical applications of AI, emphasizing engagement with the community and promoting best practices.

Ethics and Diversity in AI AI Policy and Regulation Generative AI and Research Developments Data Science Professional Development AI in Healthcare Open Source AI Projects AI Safety and Accountability Real-World AI Applications AI and Data Science Events AI for Social Good

The hottest Substack posts of RSS DS+AI Section

And their main takeaways
17 implied HN points β€’ 01 Jan 25
  1. Data science and AI are rapidly evolving fields, with 2024 being a particularly exciting year for advancements. As we move into 2025, the trends and stories from last year will continue to shape the future.
  2. Ethics in AI is a crucial topic that remains relevant, especially around issues like bias and safety. The way AI is developed and used needs careful consideration to align with human interests.
  3. There are many practical applications and resources available for learning about data science and AI. From tutorials to real-world examples, there are plenty of opportunities to get involved and apply AI technologies.
11 implied HN points β€’ 01 Dec 24
  1. There are ongoing discussions about the ethical use of AI, especially in healthcare and military. It’s important to think about privacy and the implications of these technologies.
  2. New developments in data science and AI research are exciting, such as improved models for training and reasoning. It's a fast-paced field with many recent breakthroughs.
  3. Generative AI is evolving quickly, with many companies working on new models and applications. This includes features like AI-generated summaries of content you're watching.
29 implied HN points β€’ 01 Nov 24
  1. Data science and AI are constantly evolving, with new research and developments being released regularly. It's important to stay updated on these changes to understand their implications.
  2. Ethics, bias, and regulation in AI continue to be hot topics. Discussions around how to handle these challenges are crucial for the responsible use of AI technologies.
  3. There are many practical applications and resources available for those interested in implementing AI. Tips and how-to guides can help individuals and organizations make better use of these technologies.
5 implied HN points β€’ 05 Dec 24
  1. The event is at Central Hall Westminster, starting from 6 PM to 7:15 PM, focusing on AI in public services.
  2. After the talk, attendees can go to The Feathers pub at 7:30 PM to discuss AI and enjoy some drinks.
  3. Joe Hill will be presenting insights from his report on scaling AI in public services.
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53 implied HN points β€’ 31 Dec 23
  1. The focus for the year was 'Effective and Efficient Data Science' to highlight the critical aspects of the field beyond hype.
  2. Various events and discussions were held throughout the year to promote best practices in Data Science.
  3. Engagement with the community through events, surveys, and articles was emphasized to ensure diverse voices are heard in influencing policy.
23 implied HN points β€’ 04 Nov 23
  1. The newsletter covers various topics in Data Science and AI including ethics, research, and practical applications.
  2. Committee activities include calls for new members, updates on AI Safety Summit, and announcements for events like the Christmas social.
  3. The newsletter also highlights significant developments in AI research, such as GenAI, robotics, and Large Language Models.
23 implied HN points β€’ 02 Oct 23
  1. The newsletter discusses various Committee Activities like professional development certification and sessions at the RSS conference.
  2. Ethics, bias, and diversity are hot topics in data science and AI, with ongoing discussions on AI regulation and accountability.
  3. The newsletter covers exciting developments in Data Science and AI research, including generative AI, real-world applications, and practical tips.
11 implied HN points β€’ 01 Mar 24
  1. The newsletter discussed various updates and activities in the field of data science and AI, including committee activities, advancements in research, and real-world applications.
  2. Ethical considerations, bias, diversity, regulation, and safety in AI and data science were highlighted as hot topics in the newsletter, with examples of AI-related consequences and efforts to improve safety.
  3. The newsletter also featured practical tips, how-to guides, and bigger picture ideas in the field, providing a broad range of information for data science practitioners.
11 implied HN points β€’ 03 Dec 23
  1. The December newsletter covers a wide range of activities and achievements in the field of Data Science and AI.
  2. There is a focus on topics like ethics, regulations, and bias in the AI industry.
  3. The newsletter also delves into the latest developments in Generative AI and provides practical tips for driving analytics and ML into production.
11 implied HN points β€’ 28 Nov 23
  1. Join the Data Science and AI Christmas mixer on December 5th at Artillery Arms in London.
  2. Bring merry cheer and mingle with like-minded data scientists and AI engineers at the pub.
  3. Look out for attendees in tasteful hats to navigate the full pub.
11 implied HN points β€’ 19 Sep 23
  1. The Royal Statistical Society is seeking input on its 2024 strategy via a short survey.
  2. They are interested in how to best promote statistics and data in society and drive evidence-based decision making.
  3. Participating in the survey could enter you into a prize draw for a year of RSS fellow membership.
11 implied HN points β€’ 03 Jul 23
  1. The newsletter features updates on industrial strength data science, including committee activities and upcoming events.
  2. Ethics, bias, and diversity remain hot topics in data science and AI, with examples of generative AI misuse and intentional misuse.
  3. The newsletter includes practical tips, developments in research, and fun projects in the data science and AI field.
11 implied HN points β€’ 02 Jun 23
  1. June newsletter focuses on Open Source special, including recent developments in the open source community.
  2. The newsletter highlights activities of the committee, discussions on AI ethics and diversity, and advancements in generative AI.
  3. An in-depth exploration of the open source explosion driven by the development of generative AI, showcasing the surge of open source capabilities and research contributions.
5 implied HN points β€’ 17 Nov 23
  1. Online panel event on deploying AI models in healthcare happening on Thursday, November 23rd at 5:30pm.
  2. Topics covered will include national policy, technical infrastructure, and successful deployment within an NHS trust.
  3. Event will be chaired by Will Browne and features speakers from NHS England and Oxford University Hospitals NHS Foundation Trust.
5 implied HN points β€’ 01 May 23
  1. The May newsletter contains updates on data science and AI developments, including information on the Royal Statistical Society's activities.
  2. There is a focus on ethics, bias, and diversity in data science, along with concerns about AI model safety and regulatory challenges.
  3. Generative AI remains a hot topic, with discussions on training models, practical applications, and real-world impact of AI in healthcare, design, and storytelling.
0 implied HN points β€’ 01 Jul 21
  1. The newsletter shares curated data science reading materials for the month.
  2. There are updates on developments in data science, including ethics, technologies, and real-world applications.
  3. The newsletter also discusses understanding different approaches, driving machine learning into production, and the art of decision making.
0 implied HN points β€’ 01 Aug 21
  1. The newsletter covers a variety of data science topics and updates from the Royal Statistical Society Data Science Section.
  2. The August edition discusses ethics in data science, recent developments in the field, and real-world applications of AI.
  3. Practical projects, learning opportunities, and insights into driving ML into production are also highlighted in the newsletter.
0 implied HN points β€’ 01 Oct 22
  1. Ethics and diversity are important in data science, and there is increasing momentum for regulation and legal frameworks.
  2. Open-source communities are essential to prevent control by large corporations, as seen with PyTorch's move into an independent foundation.
  3. New text-to-image models like DALLE2, Imagen, and Stable-Diffusion are technically impressive and have exciting potential applications in business and investment.
0 implied HN points β€’ 01 Sep 21
  1. Ethics, bias, and diversity are important topics in data science.
  2. New developments in data science like reinforcement learning and deep learning are happening constantly.
  3. Practical applications of data science are making a real-world impact, from face mask recognition to early dementia detection.
0 implied HN points β€’ 13 Sep 21
  1. The UK's AI Strategy may not be aligned with the needs of the technical community.
  2. There is a need for better collaboration between academia and industry in AI research and development.
  3. Emphasizing open-source, supporting startups, and prioritizing ethics are key recommendations for the UK's AI Strategy.
0 implied HN points β€’ 07 Nov 22
  1. Stay updated with the latest developments in data science through newsletters and community meetups
  2. Ethical considerations and regulatory boundaries are important in the deployment of AI technologies
  3. Real-world applications of data science, such as in healthcare and retail, are making significant impacts
0 implied HN points β€’ 04 Oct 21
  1. The newsletter highlights the committee's activities, such as advocacy for data science practitioners and preparation for next year's conference.
  2. The newsletter covers various topics in data science like ethics, bias, diversity, and practical real-world applications of AI.
  3. The newsletter provides insights on recent developments in data science, including research papers, projects, and learning opportunities, as well as tips and advice for practitioners.
0 implied HN points β€’ 01 Nov 21
  1. The November newsletter highlights the importance of ethics and diversity in data science.
  2. Exciting developments in data science include advances in deep learning techniques and real-world applications like medical image classification.
  3. Practical tips include tutorials on cleaning up data, ETL pipelines with Airflow, and deploying machine learning models into production.
0 implied HN points β€’ 03 Dec 22
  1. The newsletter covers a wide range of topics in data science and AI
  2. There are interesting updates on data science activities and events
  3. Practical tips, tutorials, and fun projects provide opportunities for learning and growth
0 implied HN points β€’ 02 Dec 21
  1. December newsletter with updates on data science and AI topics
  2. Discussion on AI strategy and governance from recent events
  3. Focus on ethics, bias, and diversity in data science field
0 implied HN points β€’ 03 Jan 22
  1. The newsletter provides updates on the activities and achievements of the Royal Statistical Society Data Science and AI Section, focusing on career development, good practice, and engaging with policymakers.
  2. The newsletter also discusses current topics in data science, such as ethics, bias, diversity, and real-world applications like robotics, medical AI, and AI in creative processes.
  3. The newsletter includes practical tips for driving analytics and ML into production, understanding different data science techniques, and longer thought-provoking reads on the changing landscape of computing with AI.
0 implied HN points β€’ 05 Jan 23
  1. Ethics, bias, and diversity are key topics in data science, with developments in AI revealing potential biases and ethical implications.
  2. New advancements in data science research include innovative approaches like Masked ViT for pre-training vision transformers and CLIPPO for training image and text models with just pixels.
  3. The industry is seeing practical applications of data science, such as AI generating 3D models, transforming audio into images, and improving code generation, along with insights into programming, ML operationalization, and fun projects like building a cat detection system.
0 implied HN points β€’ 04 Feb 23
  1. The newsletter covers a wide range of topics in data science and AI, including ethics, research, and real-world applications.
  2. There are upcoming events and opportunities in the data science field, such as workshops, conferences, and job openings.
  3. The newsletter also includes fun projects, learning opportunities, and updates from members and contributors.