#AI and #DataGovernance: A powerful partnership for innovation and ethical data practices. Read our blog to see how this relationship drives #operationalefficiency and trust https://hubs.la/Q02J2_bL0 #DataPrivacy #Ethics #AIEthics
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WATCH 🎥: BNS UEP co-founders on the transformative power of data in the financial sector. Shawn Butler, Head of Architecture and Analytics, and Kika von Klück, Head of Research and Innovation, shared their insights in an exclusive interview with #Bobsguide, discussing: ✅ The evolution of data management ☑ Ethical implications of #GenAI ✅ Synthetic vs. real-time data in decision-making and AI training ☑ Transitioning from sustainable to #regenerative business models ✅ Practical applications of data for business innovation and sustainability 👉 Watch and read the full interview here: https://lnkd.in/ey-vZZun #data #financialservices #digitaltransformation #artificialintelligence #sustainability #businessinnovation #AIethics
Watch: BNS on data’s role in business, AI ethics, and sustainable models | bobsguide
bobsguide.com
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#GenAI’s move into the #mainstream also raises several fundamental questions about the #ethics of #data use #2024planning #2024opportunities #2024outlook #2024trends #2024vision #2024goals #aiforbusiness #aiforenterprise #aiforsuccess #aiformarketing #aiforgrowth #ethicalai #aiforgood #datautilization #dataprivacy #dataprotection #futureofai #futureisai #artificialintelligence #generativeai https://lnkd.in/e_dpUkAM
Data dilemmas at the heart of GenAI
techradar.com
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🚀 New Article Alert: Ethical AI in Colombia! 🌐 Are you interested in the intersection of artificial intelligence, ethics, and policy-making? Check out the latest article from Tech4Peace Lab: "Ethical Frameworks and Regulatory Governance: An Exploratory Analysis of the Colombian Strategy for Artificial Intelligence." 📚 Highlights: A deep dive into Colombia's AI strategy and its market-oriented approach. Insights from elite interviews and documentary research on public policy. Identification of key challenges and opportunities in implementing ethical AI. This article is essential for understanding how AI can be governed ethically in emerging markets and the role of national strategies in shaping the future of AI. 🔗 https://lnkd.in/dfERC8fG #AI #Ethics #Tech4PeaceLab #ArtificialIntelligence #Colombia #Policy #Governance #DigitalTransformation #RegulatoryGovernance Let's drive the conversation on ethical AI forward! 🚀✨
Ethical Frameworks and Regulatory Governance
periodicos.unb.br
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🔍 The Dark Side of Big Data 🔍 In a world where algorithms shape our thoughts and decisions, the ethical implications of big data are more critical than ever. Our latest newsletter post, "Hidden Hazards: Unveiling the Dark Side of Big Data," dives deep into the complexities and challenges posed by the rapid advancements in technology and data analytics. We explore how the integration of big data into every aspect of our lives is not just a matter of technological evolution but a profound sociological shift. From the Vault 7 WikiLeaks revelations to the Cambridge Analytica scandal, we see the far-reaching impact of data manipulation and surveillance. The article also delves into economic theories such as rationality and bubble rationality, shedding light on the increasing economic and cultural polarization fueled by big data. But the conversation doesn't end there. We question the balance between technological progress and ethical responsibility. How do we ensure that Environmental, Social, and Governance (ESG) goals are met in this era of digital dominance? Are we sacrificing critical thinking for technological convenience? Join us in this thought-provoking journey as we navigate the intersections of knowledge, risk, and ethics in the age of big data. Read the full article and let us know your thoughts. How can we collectively work towards a more responsible and ethical use of big data? 👉 https://lnkd.in/gRsjHmzc 👈 To make sure you don't miss out on future posts like these, make sure to subscribe for the newsletter at https://lnkd.in/eWnfRkH3 #BigData #EthicsInTech #DigitalTransformation #DataPrivacy #AI
Hidden hazards: Unveiling the Dark Side of Big Data
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Finally, our special issue of #CDR is completely out – The Ethical Edge: Understanding #Corporate #Digital #Responsibility in Organizations. A special thanks goes to Stefanie Paluch and Valentina Pitardiand, especially to Jochen Wirtz who helped us to get this all started. Paluch, S., Pitardi, V., & Kunz, W. H. (2024). The ethical edge: Understanding corporate digital responsibility in organizations. Organizational Dynamics, 53(2), 101058. https://lnkd.in/e4y9psZ9 or here https://lnkd.in/eQk8v_Yp As we navigate the rapid digital transformation of our era, akin to the 18th-century #Industrial #Revolution, the ethical implications of this evolution cannot be overstated. These papers delve into Corporate Digital Responsibility (CDR), exploring its multifaceted dimensions and imperatives in the context of #intelligentautomation ( #IA), #artificialintelligence ( #AI), #algorithms, #machinelearning, and more. Key Insights from the Special Issue: 1. #Ethical and #Fair Use of Digital Technologies: Organizations must prioritize transparency, accountability, and the mitigation of biases in AI applications to foster trust and protect human dignity. 2. Challenges and Barriers: From algorithmic biases to data privacy concerns, companies face significant obstacles. Effective CDR practices, despite their costs, can enhance brand trust and mitigate digital risks. 3. #CDR vs. #CSR: While CSR focuses on environmental and social impacts, CDR zooms in on ethical digital practices, ensuring responsible stewardship of user data and combating misinformation. 4. Case Studies: Examples like Amazon’s AI hiring tool and COMPASS risk assessment software highlight the urgency of addressing biases and implementing robust CDR frameworks. 5. Actionable Recommendations: Managers are encouraged to adopt CDR frameworks, engage stakeholders, and foster ethical leadership to navigate digital transformations responsibly. 📖 Read all articles of the Special Issue on Corporate Digital Responsibility: https://lnkd.in/eR_MKN_V by Christoph Breidbach, @Daniel Scarpi, Eleonora Pantano, Jeandri Robertson, Caitlin Ferreira, @Richard T. Watson, Ian M., Leyland Pitt, Zsófia Tóth, Markus Blut, Karen Elliott, Jehana Copilah-Ali, Sean Sands, Colin Campbell, Carla Ferraro, Vlad Demsar, Justine (Rapp) Farrell, Zixuan (Mia) Cheng, Francesca Bonetti, Anouk de Regt, Joel Lo Ribeiro, Kirk Plangger, Karim Sidaoui, Dominik Mahr, Prof. dr. Gaby Odekerken-Schröder, Nicole Hartley, Werner Kunz, Jimmy Tarbit, Dr. Saskia Dörr, Christian Lautermann, Stefanie Paluch, Valentina Pitardi #DigitalTransformation #Ethics #AI #CDR #CorporateDigitalResponsibility #OrganizationalDynamics #InnovationManagement #DataPrivacy #AIethics
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Earlier this month, Salesforce joined the UNESCO Global Business Council for the Ethics of AI. This collaboration underscores our commitment to ethical AI practices and trust as our number 1 value. As a member of the Business Council, we'll engage in inclusive, multi-stakeholder dialogues to ensure AI is a force for good, working alongside regulators, businesses, and civil society. Salesforce's Chief Legal Officer Sabastian V. Niles has penned a comprehensive article outlining the different steps Salesforce is taking to lead the charge in responsible AI development, from research to product development and policy advocacy, and usher in a new era of trusted AI. https://lnkd.in/egbJqu9W #artificialgeneralintelligence #ethics #trust #responsibleai #ethicalai #aiethics
Framing the issues: Ushering in the era of trusted AI
unesco.org
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Key takeaways of our session on the data ecosystem RiseUp 1️⃣ Data’s Historical Legacy: In the shadow of the pyramids, the oldest data storage devices, the panel began by reflecting on data as humanity’s enduring legacy, akin to ancient Egyptians documenting life on papyrus and stone. 2️⃣ Human-Centric AI: The panel emphasized the irreplaceable human element in AI, arguing against a future where AI operates without human oversight. 3️⃣ Responsible AI: Ahmed Tarek khalil's healthcare startup served as an example of using AI inclusively and responsibly, setting the tone for the discussion on ethical AI deployment. 4️⃣ Data Privacy vs. Personalization: Zeyad Kelani, PhD highlighted the tension between protecting personal identifiable information and realizing AI’s full personalization potential. 5️⃣ Data as a Valuable Asset: Tarry Singh explained how data is the new oil, a key resource in the digital economy, and discussed its monetization as part of every company’s data strategy. 6️⃣ Data Sharing: The importance of data sharing was a focal point, with the panel acknowledging the varying adaptation rates across industries and advising startups to find data partners. 7️⃣ Promoting Data-Driven Ecosystems: The panel provided strategies for promoting data-driven ecosystems in Egypt, emphasizing collaboration, ethical practices, and leveraging data for societal advancement. 8️⃣ Ethical Use of Data: Amgad Nafie Addressed concerns about data misuse and AI, the panel advocated for ethical data use, balancing privacy needs with the benefits of data-driven insights. 9️⃣ Final Reflection: The panel concluded with a reminder of data’s timeless role in documenting and shaping human progress, urging the audience to remember that “Data is the Eternal Scribe of Civilization.”
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I am a passionate data professional, business consultant, and techie who thrives on solving complex business problems through creative solutions. Let's connect and unlock the key to your company's success!
💼 Data Scientists: Guardians of Ethical Data Practices 🗝️ As data professionals, we hold immense power and responsibility. Learn how ethical data practices are reshaping innovation in this must-read article. #EthicalDataScience #ProfessionalResponsibility #TechLeadership https://lnkd.in/daHFr2-E
The Ethics of Data Science: Balancing Privacy and Innovation
adebowaleadeseye.blogspot.com
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Principal Level Tech Recruiter - Proven Partner to leading start-ups and SMEs across Data, AI, Software and Space.
I've been banging on for a while now about the significant role synthetic data will play as the #GenAI revolution sweeps all before it whilst raising new, and profound, ethical dilemmas. I think my network in #AI, #ML and #GenAI who take an interest in the ethics of AI will be interested in this brilliant paper. #Ai #GenAI #ethics #AIethics
Synthetic data protection: Towards a paradigm change in data regulation? - Ana Beduschi, 2024
journals.sagepub.com
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Navigating the Ethical Landscape of Data Science Data scientists possess the power to uncover meaningful insights, fuel innovation, and optimize processes. However, this power comes with a profound responsibility to ensure that our work aligns with ethical principles. The decisions we make in data collection, algorithm design, and model deployment have far-reaching consequences that can impact privacy, fairness, and social justice. Key Ethical Considerations in Data Science 1. Privacy Preservation: Respect for individual privacy is paramount. As data scientists, we must prioritize the protection of sensitive information and implement robust measures to anonymize and secure data. Transparency in data collection practices and obtaining informed consent from individuals should be non-negotiable. 2. Fairness and Bias Mitigation: Bias can inadvertently seep into algorithms, perpetuating and even exacerbating existing inequalities. Data scientists must be vigilant in identifying and rectifying biases in data, ensuring that models do not discriminate against specific demographics. Regular audits and diverse perspectives in model evaluation can aid in mitigating bias. 3. Transparency and Accountability: Openness about the methods employed in data science projects fosters trust. Data scientists should communicate their processes, assumptions, and limitations clearly. Additionally, establishing mechanisms for accountability, such as ethical review boards, can contribute to responsible data science practices. 4. Social Impact Assessment: Data science projects should undergo thorough social impact assessments to anticipate and address potential consequences. Considering the broader implications of our work ensures that we are not inadvertently contributing to harm, reinforcing stereotypes, or compromising societal well-being. The Call to Action 1. Continuous Learning: The field of data science is dynamic, and staying informed about emerging ethical challenges is crucial. Commit to continuous learning and professional development to stay abreast of evolving ethical standards and best practices. 2. Community Engagement: Engage with the broader data science community to share insights, experiences, and ethical dilemmas. Collaboration fosters a collective understanding of ethical challenges and promotes the development of solutions that benefit the entire community. 3. Advocacy for Ethical Guidelines: Advocate for the development and adoption of ethical guidelines within your organization and the wider industry. Encourage transparent discussions about ethical considerations in decision-making processes. 4. Empathy in Design: Infuse empathy into your work by considering the human impact of data science projects. Recognize the diversity of individuals affected by algorithms and strive to create solutions that promote inclusivity and social good. #datascience #ethics #ai #cybergap
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