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Date Trend snippet:
21 May 2021
Relevance date:
2020
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- Trend snippet: Technological advancements call for ethical AI practices
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The HSD Trendmonitor is designed to provide access to relevant content on various subjects in the safety and security domain, to identify relevant developments and to connect knowledge and organisations. The safety and security domain encompasses a vast number of subjects. Four relevant taxonomies (type of threat or opportunity, victim, source of threat and domain of application) have been constructed in order to visualize all of these subjects. The taxonomies and related category descriptions have been carefully composed according to other taxonomies, European and international standards and our own expertise.
In order to identify safety and security related trends, relevant reports and HSD news articles are continuously scanned, analysed and classified by hand according to the four taxonomies. This results in a wide array of observations, which we call ‘Trend Snippets’. Multiple Trend Snippets combined can provide insights into safety and security trends. The size of the circles shows the relative weight of the topic, the filters can be used to further select the most relevant content for you. If you have an addition, question or remark, drop us a line at info@securitydelta.nl.
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Technological advancements call for ethical AI practices
With AI bringing new technologies and possibilities to the mainstream, questions arise about the fairness, transparency and responsible use of new algorithms and new sources of data. This requires both governments and international organisations to step in. June 2018, the High Level Expert Group on Artificial Intelligence (AI HLEG) was set up by the EC. This group prepared The Ethics Guidelines for Trustworthy AI involving human agency and oversight respecting human autonomy, technical robustness and safety: AI is developed with a preventive approach to risks, Privacy and data governance: AI protects data and processes it responsibly, transparency: ai is recognizable and its workings are tracable and explainable. Diversity, non-discrimination, and fairness: AI provides equal treatment and AI products are accessible by all, environmental and societal well-being: AI technologies are designed to be societally responsible. Accountability: AI systems are auditable and minimize negative impact
More source info
With AI bringing new technologies and possibilities to the mainstream, questions arise about the fairness, transparency and responsible use of new algorithms and new sources of data. This requires both governments and international organisations to step in.In April 2018, the European Commission put forward a European approach to Artificial Intelligence and robotics that deals with technological, ethical, legal and socio-economic aspects to boost EU’s research and industrial capacity1. Goals are to make the EU a leading force in developing and operationalizing AI and to put AI at the service of European citizens and the economy. “The EU can lead the way in developing and using AI for good and for all.” In June 2018, the High Level Expert Group on Artificial Intelligence (AI HLEG) was set up by the EC. This group prepared The Ethics Guidelines for Trustworthy AI1. This approach is referred to as human-centric AI.There is a host of other (inter)national organisations that have published guidelines and requests for more responsible and humane use of AI technology. However, apart from the European General Data Protection Regulation (GDPR) there is no legal framework yet for AI and these ethics guidelines have no official legal status.Technologicaladvancementscall forethicalAI practices1. human agency and oversight•AI respects human autonomy2. technical robustness and safety•AI is developed with a preventative approach to risks3. privacy and data governance•AI protectsdata and processesitresponsibly4. transparency•AI is recognisableand itsworkingsare traceableand explainable5. diversity, non-discrimination and fairness•AI providesequaltreatment and AI productsare accessiblebyall6. environmental and societal well-being•AI technologiesare designedto besocietallyresponsible7. accountability•AI systems are auditableand minimise negativeimpact
