Business Forward AUC’s Post

Ready to make responsible data decisions? Our tutored course in data ethics will equip you with the knowledge and skills you need. Learn from the ODI’s industry experts, engage in practical case studies and gain a solid understanding of ethical practice. Enrol now! #DataEthics #ResponsibleData #EthicsAndAI https://hubs.li/Q02sg8110

--- 𝘑𝘰𝘪𝘯 𝘶𝘴 𝘵𝘩𝘳𝘰𝘶𝘨𝘩 𝘵𝘩𝘪𝘴 𝘯𝘦𝘸 𝘱𝘰𝘴𝘵 𝘴𝘦𝘳𝘪𝘦𝘴 𝘸𝘩𝘦𝘳𝘦 𝘸𝘦 𝘦𝘹𝘱𝘭𝘰𝘳𝘦 𝘵𝘩𝘦 𝘋𝘢𝘵𝘢 𝘝𝘰𝘤𝘢𝘣 𝘰𝘧 𝘵𝘩𝘦 𝘸𝘦𝘦𝘬 --- What is 𝗱𝗮𝘁𝗮 𝗲𝘁𝗵𝗶𝗰𝘀? 🧐 Jordan Morrow, in his book, ‘Be data literate: The data Literacy Skills Everyone Needs to Succeed’, defines the key terms under the “data literacy umbrella”. One of these terms is data ethics which describes the ethical principles behind how organizations gather, protect, and use data.  Learn more about the importance of data ethics and its connection with the other terms under the “data literacy umbrella” by checking Maria Coppola’s article on this topic: https://lnkd.in/eZvURZhw #datavocab #dataliteracy #dataethics

Today I took out some hours of my time to go through this new course - Data & Ethics by Maven Analytics. This is an excellent course for anyone in the field of data management.

Do Princess Leia and Sherlock Holmes exist? It's not immediately obvious what relevance a question like this has for data governance. However, in his next Insight Article, our Head of Data Ethics, Dr. Alex McKeown explains why, far from being purely abstract or theoretical, with none or only limited practical relevance, formal training in philosophy is a vital tool for ensuring optimally robust data governance. Walking us through several examples, Alex demonstrates how skills in what might broadly be described as ‘philosophical analysis’ can improve the design of data governance policies, ensuring that legal risks can be mitigated or avoided, and helping organisations to design and implement processes that are comprehensive, trustworthy, and responsible. https://lnkd.in/eipUDvmV

Let’s Talk Ethics in Data Analytics! Data is powerful, but with great power comes great responsibility! 💪 As we dive into the world of analytics, it's super important to keep ethics at the forefront. 🔒 Protecting personal info? Absolutely! 🤔 Avoiding biases? You bet! 🤝 Being transparent and accountable? That’s a must! Join us on this journey to make data-driven decisions that are not just smart but also kind. How do YOU ensure ethical practices in your analytics? Share your thoughts below! 👇 Let’s learn and grow together! #dataethics #educational #dataanalytics #fun #jocanalytics

In Melbourne, Data Analytics people are hatching fertile new ideas for the creative use of information inside and between organisations, businesses and NGOs. Governance, compliance, ETHICS, digital citizenship...What questions should we ask to ensure the human-centred collection, use and understanding of data?

Have you encountered instances where data influences your decisions without your knowledge? Data is omnipresent: from the moment we unlock our phones to navigating online platforms, it shapes our interactions and experiences.  The growing reliance on data underscores numerous ethical considerations, spanning from personal privacy to global data governance. Issues such as data access, sovereignty, and the emergence of data feudalism demand broad, open, and inclusive discussions. That’s where The Ethical Data Initiative (EDI) comes in. It was launched as a joint effort between the University of Exeter and the TUM Think Tank (Hochschule für Politik München and the Technical University of Munich). Designed as a neutral platform, the Initiative serves as a hub for multilateral conversations surrounding data ethics, ICT, and data governance. Our mission is clear: to tackle significant issues such as data literacy, transparency, and trust building within data ecosystems. The recent EDI Kick-Off workshop highlighted the urgency of collaborative action on shaping ethical data practices. Key takeaways include the importance of inclusive participation from various sectors and communities, the need for holistic approaches and interdisciplinary dialogue and collaboration. View the video: https://lnkd.in/ehPCiQsu Find out more and get involved: https://lnkd.in/eEMfvas5 Sabina Leonelli Markus B. Siewert Kathryn Bailey Suchith Anand Yerkenaz Arinova Rahel Roloff Philip Pfaller

In the second part of our series on navigating ethical dilemmas in data analytics, we present expert advice on overcoming these challenges. These insights will help data professionals implement ethical practices and make responsible decisions in their wor

Ethical Considerations in Statistical Analysis Ethical Considerations: Statistics with Integrity In statistical analysis, ethical practices ensure the accuracy and fairness of results. 🔹 Key Ethical Issues: ✔️ Data Privacy: Ensuring confidentiality ✔️ Bias: Addressing and mitigating bias in models ✔️ Transparency: Reporting methods and findings honestly Ethical statistics lead to trust, better decision-making, and a fairer world. Let’s uphold integrity in every analysis! #EthicalStatistics #DataEthics #DataScience #Transparency #BiasInData #MachineLearning

Data are not neutral. Analysis isn't either. Kudos to Canadian Institute for Health Information (CIHI) for embarking on a journey to develop a health data ethics framework to guide their work. The draft is based on the principles shown in the graphic below. It goes far beyond traditional privacy considerations. Feedback on the draft is invited by the end of January. View the draft and information on how to provide feedback: https://lnkd.in/eBhEBKAk