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 building trustworthy ai


Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet)

Machot, Fadi Al, Horsch, Martin Thomas, Ullah, Habib

arXiv.org Artificial Intelligence

While Large Language Models (LLMs) perform exceptionally well in generating accurate outputs, their "black box" nature poses significant challenges to transparency and trust. To address this, the paper proposes the TranspNet pipeline, which integrates symbolic AI with LLMs. By leveraging domain expert knowledge, retrieval-augmented generation (RAG), and formal reasoning frameworks like Answer Set Programming (ASP), TranspNet enhances LLM outputs with structured reasoning and verification.This approach strives to help AI systems deliver results that are as accurate, explainable, and trustworthy as possible, aligning with regulatory expectations for transparency and accountability. TranspNet provides a solution for developing AI systems that are reliable and interpretable, making it suitable for real-world applications where trust is critical.


C-level executives should be responsible AI ethics in organizations

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AI ethics has always been a topic of concern for most organizations hoping to leverage the technology in some use cases. While AI has improved over the years, the reality is that AI has become integral to products and services, with some organizations now looking to develop AI codes of ethics. While the whole notion of AI ethics is still debatable in many ways, the use of AI can not be held back, especially with the world becoming increasingly influenced by modern technologies. Last year, UNESCO member states adopted the first-ever global agreement on the Ethics of AI. The guidelines define the common values and principles to guide the construction of necessary legal infrastructure to ensure the healthy development of AI. "Emerging technologies such as AI have proven their immense capacity to deliver for good. However, its negative impacts that are exacerbating an already divided and unequal world, should be controlled. AI developments should abide by the rule of law, avoiding harm, and ensuring that when harm happens, accountability and redressal mechanisms are at hand for those affected," stated UNESCO.


Building trustworthy AI: What, why, and how by The Irish Tech News Podcast

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Eco Entrepreneur and Climate Campaigner, Dale Vince, OBE There's a saying that goes, 'don't meet your heroes as they may disappoint', well I pleased to say this wasn't the case when I spoke to green entrepreneur, Dale Vince, OBE for this episode for Irish Tech News Dale is one a what I would call a conscious CEO, where his work focuses on three key areas – energy, transport, and food. In 1995 he launched Ecotricity, the world's first green energy company, which today, powers around 200,000 homes and businesses across the UK with renewable energy from the wind and sun. Dale also owns Devil's Kitchen, which makes vegan school dinners, and his latest business, Skydiamond creates lab grown diamonds from the wind, rain and sun. If that wasn't enough, Dale is Chairman and owner of Forest Green Rovers recognised by FIFA as the "world's greenest football club" and became a United Nations Climate Champion in 2018. He launched his first book, Manifesto in 2020, and is Executive Producer of the Netflix Original documentary, Seaspiracy.


Building trustworthy AI: What, why, and how

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A significant amount of money has been invested in FinTech in the past decade; according to CFTE, the FinTech sector is now equivalent to 38% of the banking sector in terms of market capitalization. If FinTech was considered a city, it would rank 3rd as an employer in financial services, after New York and London. In a world where we are playing buzzword bingo on a seemingly daily basis, how do we stay on top of the real innovation trends in this fast developing world? And how can we facilitate pathways to these new opportunities and make sure that no one is left behind? As the saying goes, talent is equally distributed; opportunities are not.


In Data We Trust

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The technological advancement of Artificial Intelligence is impacting many areas of our lives like health care, manufacturing, entertainment, and farming. The development of AI, however, also comes with new problems. Bias, accuracy, privacy, and security issues in recent years made the general public worry about the ethical and legal consequences of AI. To address these concerns, many government bodies began to draft a legal framework around trustworthy AI so as to make it possible to regulate AI without hindering its development. Just as they did for data protection with GDPR (General Data Protection Regulations) in 2016, the EU led the world on Trustworthy AI by publishing Ethics Guidelines for Trustworthy AI (2019), White Paper on Artificial Intelligence -- A European approach to excellence and trust (2020), and A European Strategy for Data (2020).


In Data We Trust

#artificialintelligence

The technological advancement of Artificial Intelligence is impacting many areas of our lives like health care, manufacturing, entertainment, and farming. The development of AI, however, also comes with new problems. Bias, accuracy, privacy, and security issues in recent years made the general public worry about the ethical and legal consequences of AI. To address these concerns, many government bodies began to draft a legal framework around trustworthy AI so as to make it possible to regulate AI without hindering its development. Just as they did for data protection with GDPR (General Data Protection Regulations) in 2016, the EU led the world on Trustworthy AI by publishing Ethics Guidelines for Trustworthy AI (2019), White Paper on Artificial Intelligence -- A European approach to excellence and trust (2020), and A European Strategy for Data (2020).


Building trustworthy AI

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The Deloitte Centre for Regulatory Strategy is a powerful resource of information and insight, designed to assist financial institutions manage the complexity and convergence of rapidly increasing new regulation. With regional hubs in the Americas, Asia Pacific and EMEA, the Centre combines the strength of Deloitte's regional and international network of experienced risk, regulatory, and industry professionals – including a deep roster of former regulators, industry specialists, and business advisers – with a rich understanding of the impact of regulations on business models and strategy.


How We Can Build Trustworthy AI

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Science fiction movies like'The Terminator' and'I, Robot' have exhibited what might happen in case artificial intelligence goes rogue. Such dystopian fantasies about AI are widely discussed by experts and researchers in the field of AI as well. Many of these experts believe that super-intelligent AI systems will pose a significant threat to humanity in the near future. And, considering the untold potential of AI, this may soon become a reality. Developers need to understand public concerns over the development of AI systems. There have been many reported instances where developers neglected these warnings and created AI systems that went rogue.