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

This pandemic belief is mad, bad and dangerous to know

0 implied HN points • 24 Oct 20
  1. Beliefs should be based on facts, not misinformation.
  2. False beliefs about the pandemic can have serious consequences on public health.
  3. Analyzing data and statistics can help counter false narratives about COVID-19.

How not to lose 16,000 COVID-19 test results: a data scientist's view

0 implied HN points • 10 Oct 20
  1. Proper monitoring of data is crucial in handling important information like COVID-19 test results.
  2. Experienced data scientists would implement simple monitors like tracking new positive tests and test center counts.
  3. A data science culture within organizations is essential for ensuring data accuracy and preventing errors.

October Newsletter

0 implied HN points • 05 Oct 20
  1. Covid-19 cases are rising in various parts of the world, and there are concerns about the accuracy of diagnostic tests and data management.
  2. Data scientists are increasingly uncovering biases in AI models and recommendation systems.
  3. GPT-3 continues to make headlines by showing abilities in proving mathematical theorems and encountering challenges with understanding analogies.

Lessons on Algorithm ethics from UK Exam algorithm story

0 implied HN points • 15 Sep 20
  1. Algorithm outcomes can vary between a macro and micro level, affecting individual experiences differently.
  2. Even with precautions against bias, differences in student profiles across schools can lead to unequal outcomes.
  3. Exam results heavily impacted by a student's school history, creating unfair penalties for individuals.

Ethics Happy Hours

0 implied HN points • 11 Sep 20
  1. Discussions on ethics are important in data science projects
  2. Initiative aims to promote ethical awareness and informed debate
  3. Opportunity for data scientists to share and discuss ethical challenges
Get a weekly roundup of the best Substack posts, by hacker news affinity:

August Newsletter

0 implied HN points • 03 Aug 20
  1. Covid-19 updates are impacting schools, testing, and ventilation measures
  2. Deep Learning, GPT-3 model, and NLP technologies continue to evolve and generate interest
  3. Data Science teams face challenges in prioritizing projects and deploying ML models efficiently

July Newsletter

0 implied HN points • 06 Jul 20
  1. COVID-19 forecasts models are being evaluated objectively, despite challenges in realistic forecast assessment.
  2. Algorithmic bias in AI and Machine Learning systems is gaining attention due to its impact on individuals and society.
  3. Challenges in productionizing machine learning models are being addressed through MLOps and automation solutions.

June Newsletter

0 implied HN points • 02 Jun 20
  1. COVID-19 data science is a major focus with interactive charts and thoughtful analysis
  2. Committee activities include data science accreditation discussions and NEURIPS submissions
  3. Non-COVID data topics like causality, Bayesian optimization, and self-supervised learning are also key areas of interest

Take care with graphs...

0 implied HN points • 11 May 20
  1. Present data clearly to a wide audience to avoid overwhelming them
  2. Be cautious of misleading graphs and ensure consistency in data visualization
  3. Exercise care when interpreting data presented by others to avoid misinterpretation

May Newsletter

0 implied HN points • 04 May 20
  1. May newsletter focuses on varied data science topics beyond COVID-19.
  2. Committee activities include hosting online meetups and sharing data science best practices.
  3. Data science updates cover a range of topics from disease diagnosis using machine learning to historic perspectives on gender diversity.

Data Science Needs Technical Managers

0 implied HN points • 01 May 20
  1. Data scientists with technical managers feel they deliver more value to organizations.
  2. Data scientists face challenges due to a lack of strategy and support from senior managers.
  3. Having a manager with a data science background improves the perception of value in data science work.

The effectiveness of cloth masks has been misrepresented by #Masks4All

0 implied HN points • 24 Apr 20
  1. Cloth masks may not be as effective against viruses as claimed by #Masks4All campaign
  2. Research on mask effectiveness should be conducted by experts in infectious diseases
  3. Scientific evidence for public mask-wearing needs further research and caution

April Newsletter

0 implied HN points • 02 Apr 20
  1. Identifying trusted resources for data about COVID-19 is crucial
  2. Criticism has risen over reliance on forecasting models without understanding underlying assumptions
  3. There are numerous ways for the community to get involved in data science initiatives related to COVID-19

March Newsletter

0 implied HN points • 02 Mar 20
  1. The March newsletter highlights upcoming events and activities of data science professionals.
  2. Interesting posts on AI advancements in health/pharma field and tool releases by leading data science companies were featured.
  3. Various upcoming events like Women in AI and meetups were mentioned in the newsletter.

The do's and don'ts of starting a data science team

0 implied HN points • 09 Jan 20
  1. Appoint a technical leader to manage a data science team effectively.
  2. Carefully craft your team with diverse skills for better problem-solving.
  3. Take an ethics-first approach and consider ethical implications in data science work.

"We are not unicorns"​

0 implied HN points • 08 Jun 19
  1. Data science hype creates unrealistic expectations for both data scientists and businesses.
  2. Data science leaders must closely collaborate with business stakeholders to define problems and recruit for diverse skills.
  3. Efficient data and analytics platforms, self-sufficiency in data teams, and clear project outcomes are key for successful data science projects.

March Newsletter

0 implied HN points • 05 Mar 23
🕹 Technology Data science AI Machine Learning Research Applications
  1. Ethical concerns around the use of AI, especially in the military, continue to be a significant issue.
  2. Research in data science is focusing on efficiency, scalability, and the adaptation of large language models.
  3. Generative AI, like ChatGPT, is a hot topic with advancements in business applications and ethical considerations.

September Newsletter

0 implied HN points • 03 Sep 20
  1. Covid cases are rising in the UK, but the number of deaths remains relatively low and stable.
  2. Algorithms came under scrutiny due to the A-level results fiasco in the UK.
  3. GPT-3 continues to generate news and discussion in the data science community.

London Meetup 19th July

0 implied HN points • 12 Jul 23
🕹 Technology AI Data science Standards Events
  1. Upcoming London meetup on 19th July will focus on 'International Standards for AI.'
  2. The event will also cover how to avoid becoming an 'ornamental' data scientist.
  3. Guest speaker Dr. Florian Ostmann from The Alan Turing Institute will lead the discussion.

February Newsletter

0 implied HN points • 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.

The UK AI Roadmap: your expert views needed

0 implied HN points • 11 Jun 21
  1. The UK government is developing an AI Strategy.
  2. Data scientists and AI professionals will be impacted by the AI strategy.
  3. Experts in data science and AI are encouraged to share their views through a survey.

Anthony Goldbloom Fireside Chat - Sign Up Now!

0 implied HN points • 30 Apr 21
  1. Anthony Goldbloom is the founder of Kaggle, an influential data science platform.
  2. The Fireside Chat event with Goldbloom will take place on May 20th at 6:30 pm.
  3. Goldbloom will share reflections on 10 years in AI and insights on the future of Data Science.

All models are wrong, but some are completely wrong

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

Our First Newsletter (of many...)

0 implied HN points • 02 Feb 20
  1. The newsletter highlights activities and presentations from the Data Science Section committee members.
  2. Interesting posts include a guide to machine learning, utilizing GPT2 in Python, and the importance of reproducibility in machine learning.
  3. Upcoming events mentioned in the newsletter cover topics like detecting violent propaganda and operational AI.

January Newsletter

0 implied HN points • 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.

December Newsletter

0 implied HN points • 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

November Newsletter

0 implied HN points • 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

October Newsletter

0 implied HN points • 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.

September Newsletter

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

July Newsletter

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.

June Newsletter

0 implied HN points • 05 Jun 22
  1. The June newsletter highlights ongoing initiatives in data science standards and accreditations.
  2. The newsletter also covers various topics and discussions in the data science field.
  3. Interesting insights on ethics, bias, diversity, and emerging threats in AI are shared in the newsletter.

May Newsletter

0 implied HN points • 02 May 22
  1. Committee members are actively involved in defining standards for data scientist accreditation and launching an Advanced Certificate.
  2. AI Standards Hub initiative aims to promote awareness of technical standards for AI governance and innovation.
  3. Key topics in data science include bias, ethics, diversity, and innovative uses of AI in various sectors like drug discovery and earthquake detection.

April Newsletter

0 implied HN points • 01 Apr 22
  1. The war in Ukraine highlights the increasing influence of AI in warfare.
  2. Deepfakes are being used in political contexts, raising concerns about authenticity.
  3. Advancements in AI are making it easier to create automated models without coding skills, but with potential risks.

March Newsletter

0 implied HN points • 01 Mar 22
  1. March newsletter includes updates on Data Science and AI Section activities
  2. Focus on ethics, bias, and diversity in data science highlighted through examples in the newsletter
  3. Practical tips and resources shared, including job openings in the Data Science and AI community

February Newsletter

0 implied HN points • 01 Feb 22
  1. The February newsletter provides updates on data science activities and events within the community.
  2. The newsletter covers topics like bias, ethics, and diversity in data science, as well as developments in AI and machine learning research.
  3. Practical tips and learning opportunities are shared, including insights on model experimentation, data drift, and management in AI projects.

January Newsletter

0 implied HN points • 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.

December Newsletter

0 implied HN points • 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

November Newsletter

0 implied HN points • 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.