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
5 implied HN points 01 Feb 25
  1. AI and Data Science are rapidly evolving fields with new projects and innovations popping up all the time. It's important to stay updated with the latest research and applications.
  2. Ethics in AI is a huge concern, with ongoing discussions about bias, privacy, and the regulation of AI technology. People are looking for ways to use AI responsibly.
  3. There's a growing demand for skilled professionals in AI, particularly in areas like AI Product Management, which is becoming a hot job opportunity.
17 implied HN points 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.
29 implied HN points 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.
11 implied HN points 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.
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53 implied HN points 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.
35 implied HN points 12 Nov 23
  1. Martin Goodson and Piers Stobbs launched a new podcast called AI Unfiltered
  2. The podcast provides an inside view of artificial intelligence from a practitioner's perspective
  3. The first episode covers the recent UK AI Safety Summit and the US Executive Order on AI
23 implied HN points 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 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 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 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 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 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.
5 implied HN points 21 Feb 24
  1. The March newsletter is coming up, and contributions like announcements, meetups, publications, and job postings are welcomed.
  2. If you have something to contribute, send it directly to [email protected] instead of replying to the email.
  3. It's a good opportunity to share your news and updates with the newsletter audience.
11 implied HN points 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 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 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 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 03 May 21
  1. Ethics and diversity are hot topics in data science, with calls for regulation against questionable AI use cases.
  2. Exciting new developments in data science include deep learning aiding scientific discovery and advancements in model compression.
  3. Real world applications of data science are making a difference, from early detection of colon cancer to decoding whale language.
0 implied HN points 01 Jun 21
  1. Ethics, bias, and diversity are important topics in data science
  2. New developments and advancements are always happening in data science
  3. Real world applications of data science have a positive impact in areas like healthcare and sports
0 implied HN points 03 Jul 22
  1. The newsletter covers a wide range of topics in data science and AI, from current events to research developments.
  2. The newsletter includes updates on industry activities, such as events and conferences, providing networking opportunities for data science practitioners.
  3. The COVID-19 section highlights the latest statistics and research findings related to the pandemic, including the potential use of fitness trackers for early detection.
0 implied HN points 06 Jun 21
  1. The RSS aims to shape the government's AI strategy by highlighting the importance of statistics and data science.
  2. The RSS plans to gather input from data science professionals to inform the AI roadmap.
  3. The RSS will engage with government stakeholders through events and roundtables to refine their thinking on AI strategy.
0 implied HN points 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 31 Mar 20
  1. Models have uncertainty and it's important to communicate this clearly
  2. Journalists should get quotes from multiple experts before publishing on important topics
  3. Transparency in sharing data and code is crucial for scientific scrutiny in modeling work
0 implied HN points 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 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 02 Sep 22
  1. September newsletter shares updates on data science and AI activities, including conferences and events
  2. Focused discussions on ethics, bias, and regulation in AI and data science, emphasizing best practices and quality data sets
  3. Exciting real-world applications of data science showcased, along with practical tips for ML Ops and interesting projects to explore
0 implied HN points 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 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.