Latest news with #ethicalAI
Zawya
4 days ago
- Business
- Zawya
National policy for the use of AI launched in Bahrain
Bahrain has announced the launch of a national policy for the responsible and ethical use of artificial intelligence (AI). The Information and eGovernment Authority (iGA) also announced the adoption of the GCC Guiding Manual on the Ethical Use of AI. The initiative is in line with the directives of Interior Minister and ministerial committee for information and communication technology chairman General Shaikh Rashid bin Abdulla Al Khalifa. iGA chief executive Mohammed Al Qaed said that the AI policy, available at aims to harness AI to support economic and social growth, enhance government efficiency and ensure the secure and ethical application of AI in line with Bahrain Economic Vision 2030 and the Sustainable Development Goals. He emphasised that the policy adheres to national and international ethical and legal standards. The policy underscores compliance with key national laws and frameworks, including the Personal Data Protection Law, the Law on the Protection of State Documents and Information, the Open Data Policy and the GCC Guiding Manual on the Ethical Use of AI. Mr Al Qaed also highlighted the importance of government entities in educating and enabling national talent to use AI technologies professionally and ethically. He outlined the iGA's efforts to deliver training programmes and workshops to build awareness among public sector employees, particularly in critical sectors such as health, education and public services, contributing to Bahrain's competitiveness at the regional and global levels. He emphasised the government's commitment to integrating AI into public services in a systematic and unified manner, ensuring the alignment of related initiatives and investments to maximise performance, streamline services and deliver tangible benefits to citizens and residents. The national framework also seeks to enhance public trust in advanced technologies and foster a sustainable, innovation-driven digital society. The AI policy targets government officials, developers of digital services, decision-makers, academics, researchers and beneficiaries of smart government services. It focuses on four key pillars: commitment to relevant laws and policies, encouraging AI adoption in government, empowering employees with AI knowledge and skills and reinforcing partnerships to support innovation. The GCC Guiding Manual on the Ethical Use of AI serves as a complementary framework to the national policy on AI, reflecting shared regional values that emphasise respect for human dignity, alignment with Islamic principles and national identity, and a commitment to sustainability, co-operation and human well-being. The manual is founded on four core ethical principles: safeguarding human autonomy in decision-making, ensuring safety and the prevention of harm, promoting fairness and equality and protecting privacy and data integrity. Mr Al Qaed said that the integration of the policy and ethical charter provides a strong foundation for responsible AI governance, supporting institutional digital transformation, public confidence and the development of a sustainable and innovative society. Copyright 2022 Al Hilal Publishing and Marketing Group Provided by SyndiGate Media Inc. (
Yahoo
24-07-2025
- Business
- Yahoo
Interview Kickstart Machine Learning Course 2025 Update - FAANG ML Engineer Course with Projects
Santa Clara, July 24, 2025 (GLOBE NEWSWIRE) -- In an era where AI is increasingly powering everyday systems from loan approvals to personalized healthcare, ensuring fairness and mitigating bias in machine learning pipelines has become a top priority. As FAANG companies like Meta, Amazon, and Google face intense scrutiny over algorithmic bias, demand for ML engineers versed in ethical AI and bias mitigation is skyrocketing. A study published last week highlights that even leading mitigation methods can inadvertently worsen outcomes if subgroups aren't carefully defined, underlining the sophistication necessary for modern practitioners. For more information, visit: Interview Kickstart, a leading tech interview prep platform trusted by FAANG engineers and aspirants alike, offers the Flagship Machine Learning course designed and taught by FAANG+ ML engineers. With a curriculum spanning foundational Python programming, classical machine learning, neural network architectures, applied generative AI, LLMs, System Design, and interview prep, this course equips learners with both theoretical understanding and hands-on skills. Through engaging live classes, mock interviews, personalized feedback, and industry-relevant case studies, IK embeds best-practice bias mitigation techniques at every level, ensuring graduates are ready for the ethical dilemmas faced by top-tier employers. The course curriculum's Machine Learning Fundamentals and Advanced ML modules focus on equipping learners with rigorous strategies to identify and mitigate bias. From pre-processing methods like data augmentation and reweighting to in-processing techniques such as adversarial debiasing and fairness constraints, and post-processing adjustments like equalized odds, students study the complete ecosystem of bias-control methods. Learners also tackle advanced topics like generating synthetic datasets to stress-test models and steer model activations using steering vector ensembles, methods found to safely reduce fairness violations while maintaining predictive performance. Beyond technical mastery, the real-world capstone projects challenge participants to build solutions where bias mitigation is integral from start to finish. One capstone might involve developing a credit scoring model that must balance predictive power with demographic parity, while another could explore bias-aware models in healthcare or speech recognition, reflecting recent findings by the Algorithmic Justice League and initiatives to uncover racial disparities in AI systems. Instructors guide learners through a structured cycle: dataset audit, fairness metric selection (e.g., equalized odds, demographic parity), choice of mitigation approach, evaluation across sensitive attributes, and discussion of trade-offs between accuracy and fairness. This focus on bias-aware ML pipelines translates directly into interview readiness. FAANG interviews often include questions on fairness and ML system design, candidates can expect to be grilled on how they would handle biased training data, design pipelines to track disparate impact metrics, and implement real-time fairness interventions. Interview Kickstart prepares learners with targeted sessions in the Interview Prep phase, covering data structures, algorithms, system design, and ethics-aware machine learning patterns. Learners face mock interviews conducted by FAANG+ ML engineers, who provide in-depth feedback on the candidate's ability to think through fairness when designing systems. Participants in the Interview Kickstart Flagship Machine Learning course also benefit from deep career coaching. Instructors provide guidance on resume presentation, LinkedIn branding, and behavioral interview strategies—all critical for securing interviews and converting offers at elite companies. The six-month structured support period allows learners to retake sessions, schedule up to 15 mock interviews, and engage in one-on-one technical coaching. This ecosystem fosters deep understanding and confidence around fairness topics by ensuring learners revisit difficult concepts until mastery is achieved. The challenge of building fair and unbiased AI systems is not optional—it is a necessity. With bias mitigation rightly positioned at the core of modern ML roles, AI systems that fail to address fairness risk, obsolescence, or remediation costs. Interview Kickstart's Flagship Machine Learning course offers a compelling, end-to-end preparation strategy. Learners gain mastery over algorithms, architectures, practical coding skills, generative AI capabilities, and ethical ML design, all while practicing with FAANG-style interview rigor. For professionals aiming not only to break into FAANG companies but also to shape AI responsibly, Interview Kickstart offers the ideal pathway. The course ensures technical excellence, ethical awareness, and communication skills, the rare combination FAANG recruiters seek. To learn more visit: About Interview Kickstart Founded in 2014, Interview Kickstart is a premier upskilling platform empowering aspiring tech professionals to secure roles at FAANG and top tech companies. With a proven track record and over 20,000 successful learners, the platform stands out with its team of 700+ FAANG instructors, hiring managers, and tech leads, who deliver a comprehensive curriculum, practical insights, and targeted interview prep strategies. Offering live classes, 100,000+ hours of pre-recorded video lessons, and 1:1 sessions, Interview Kickstart ensures flexible, in-depth learning along with personalized guidance for resume building and LinkedIn profile optimization. The holistic support, spanning 6 to 10 months with mock interviews, ongoing mentorship, and industry-aligned projects, equips learners to excel in technical interviews and on the job. ### For more information about Interview Kickstart, contact the company here:Interview KickstartBurhanuddin Pithawala+1 (209) 899-1463aiml@ Patrick Henry Dr Bldg 25, Santa Clara, CA 95054, United States CONTACT: Burhanuddin PithawalaError in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Malay Mail
19-07-2025
- Business
- Malay Mail
Digital minister: AI technology action plan 2026-2030 to reinforce ethical guidelines
KUALA LUMPUR, July 19 — The AI Technology Action Plan 2026-2030, set to launch this year, will strengthen Malaysia's framework for ethical AI use. Digital Minister Gobind Singh Deo said the plan builds on the National Artificial Intelligence Governance and Ethics Guidelines (AIGE) introduced last year to address the risks of AI misuse. 'Ethical use of AI is a critical issue. We've already implemented guidelines, and this action plan will further reinforce them,' he told reporters after the National AI Competition 2025 at Sunway University today. The AI Technology Action Plan 2026-2030 follows the AI Roadmap 2021-2025 and aims to drive stronger collaboration between the government, industry, academia and the wider community. It will support knowledge sharing, encourage AI adoption in key sectors and promote sustainable talent development within the national AI ecosystem. 'We're also looking into AI governance. Hopefully by mid-next year, we'll be able to introduce a framework that addresses safety and accountability in AI,' Gobind said. He emphasised that strengthening guidelines and governance is essential, given the rapid pace at which the technology is evolving and its growing influence. 'I view this positively. AI is the future. People will increasingly use applications powered by it, and we must be prepared. 'Of course, as we move forward, challenges will arise, including potential risks. These are the aspects we need to address,' he said. Gobind added that the rapid growth of AI presents new opportunities for employment and innovation, and urged Malaysians to boldly embrace emerging technologies in line with the government's push to build a fully digital nation. 'To achieve this, we are focusing on infrastructure, security and talent development. Ultimately, we must ensure the country is 'AI-ready',' he said. — Bernama
SBS Australia
17-07-2025
- Politics
- SBS Australia
National push to combat AI facilitated child abuse
National push to combat AI facilitated child abuse Published 17 July 2025, 9:33 am There are calls for the federal government to criminalise the possession and use of AI tools designed to create child abuse material. Advocates say Australia can set a global benchmark for ethical AI and child protection.
Arab News
11-07-2025
- Business
- Arab News
DCO launches new AI ethics tool to advance responsible technology use
GENEVA: Saudi Arabia's Digital Cooperation Organization has launched a pioneering policy tool designed to help governments, businesses and developers ensure artificial intelligence systems are ethically sound and aligned with human rights principles, it was announced on Friday. Unveiled during the AI for Good Summit 2025 and the WSIS+20 conference in Geneva, the DCO AI Ethics Evaluator marks an important milestone in the organization's efforts to translate its principles for ethical AI into practical action, it said. AI must reflect the values we share — not just the systems we build. That's why DCO's Ethical AI Initiative brings together a shared set of principles and practical tools to help developers and policymakers shape responsible, inclusive AI. Explore how we're working to ensure AI… — Digital Cooperation Organization (@dcorg) July 11, 2025 The tool is a self-assessment framework enabling users to identify and mitigate ethical risks associated with AI technologies across six key dimensions. It provides tailored reports featuring visual profiles and actionable recommendations, aiming to embed ethical considerations at every stage of AI development and deployment. Speaking at the launch, Omar Saud Al-Omar, Kuwait's minister of state for communication affairs and current chairman of the DCO Council, described the tool as a resource to help AI stakeholders 'align with ethical standards and apply strategies to mitigate human rights impacts.' He said it drew on extensive research and global consultation to address the growing demand for responsible AI governance. DCO Secretary-General Deemah Al-Yahya highlighted the urgency of the initiative: 'AI without ethics is not progress, it's a threat. A threat to human dignity, to public trust, and to the very values that bind our societies together.' She continued: 'This is not just another checklist, it is a principled stand, built on best practices and rooted in human rights, to confront algorithmic bias, data exploitation and hidden ethical blind spots in AI.' Al-Yahya emphasized the evaluator's wide applicability: 'It's not just for governments, but for anyone building our digital future — developers, regulators, innovators. This is a compass for responsible AI, because ethical standards are no longer optional. They are non-negotiable.' Alaa Abdulaal, the DCO's chief of digital economy intelligence, provided a demonstration of the tool at the launch. 'The future of AI will not be shaped by how fast we code, but by the values we choose to encode,' he said.
