Like other forms of AI, generative AI can affect ethical issues and risks pertaining to data privacy, security, energy usage, political impact and workforces. GenAI technology can also potentially introduce a series of new business risks, such as misinformation and hallucinations,…
What is AI ethics?
Ethics is a set of moral principles which help us discern between right and wrong. AI ethics is a multidisciplinary field that studies how to optimize the beneficial impact of artificial intelligence (AI) while reducing risks and adverse outcomes. Examples of…
SchoolAI Offers Free AI Readiness Program for Educators
Intended as a low-risk way to test drive generative artificial intelligence, the platform allows teachers to create content, set up AI-based classroom activities and view dashboards that track student progress. On the heels of last month’s executive order to make artificial…
API & AI Integrated Governance: A Sample Framework for Digital Excellence
In today’s interconnected digital world, the rapid evolution of technology has led organizations to simultaneously grapple with the complexity of managing API ecosystems and the transformative power of AI. While APIs enable seamless integration and data flow across systems, AI introduces…
Fiddler Labs upgrades its AI model monitoring platform to detect new types of bias and drift
Startup Fiddler Labs Inc. said today it’s doing more to help companies ensure their artificial intelligence models are trustworthy and responsible. The company has announced a big upgrade to its Model Performance Management software, with new capabilities that include model ingestion…
AI seen to advance digital governance, industry, ethics in Laos
The Ministry of Technology and Communications is spearheading efforts to integrate AI into government operations and private sector industries, with a focus on key areas such as labour, education, and the media. VIENTIANE – Artificial Intelligence (AI) is increasingly shaping various…
Emerging technologies are redefining ESG reporting
As ESG (Environmental, Social, and Governance) compliance becomes increasingly important, technology is emerging as a key enabler in streamlining sustainability reporting. India’s Securities and Exchange Board (SEBI) has mandated the top 1,000 listed companies to prepare Business Responsibility and Sustainability Reports…
Infosys Launches Open-Source Responsible AI Toolkit to Enhance Trust and Transparency in AI
Infosys (NSE: INFY), (BSE: INFY), (NYSE: INFY), a global leader in next-generation digital services and consulting, today announced the launch of its open-source Responsible AI Toolkit, a key component of the Infosys Topaz Responsible AI Suite, designed to help enterprises innovate…
The 3 key pillars of data governance for AI-driven enterprises
AI demands adaptive data governance: real-time automation of policies, lineage and AI-driven monitoring ensures dynamic compliance for modern enterprises. Data governance has evolved from a compliance necessity to a strategic pillar for AI-driven enterprises. With data volumes exploding across cloud, edge…
AI’s black box problem: Why is it still indecipherable to researchers
Some artificial intelligence algorithms, particularly neural networks, have internal processes that remain largely unknown. This lack of transparency is one of the sources of biases and hallucinations When a neural network is operational, even the most specialized researchers are often left…