Having worked with AI since 2018, I’m watching its slow but steady pick-up alongside the unstructured bandwagon-jumping with considerable interest. Now that the initial fear has subsided somewhat abou...

Having worked with AI since 2018, I’m watching its slow but steady pick-up alongside the unstructured bandwagon-jumping with considerable interest. Now that the initial fear has subsided somewhat about a robotic takeover, discussion about the ethics that will surround the integration of AI into everyday business structures has taken its place.  A whole new range of roles will be required to handle ethics, governance and compliance, all of which are going to gain enormous value and importance to organisations.Probably the most essential of these will be an AI Ethics Specialist, who will be required to ensure Agentic AI systems meet ethical standards like fairness and transparency. This role will involve using specialised tools and frameworks to address ethical concerns efficiently and avoid potential legal or reputational risks.  Human oversight to ensure transparency and responsible ethics is essential to maintain the delicate balance between data driven decisions, intelligence and intuition.In addition, roles like Agentic AI Workflow Designer, AI Interaction and Integration Designer will ensure AI integrates seamlessly across ecosystems and prioritises transparency, ethical considerations, and adaptability. An AI Overseer will also be required, to monitor the entire Agentic stack of agents and arbiters, the decision-making elements of AI.   For anyone embarking on the integration of AI into their organisation and wanting to ensure the technology is introduced and maintained responsibly, I can recommend consulting the United Nations’ principles. These 10 principles were created by the United Nations in 2022, in response to the ethical challenges raised by the increasing preponderance of AI.So what are these ten principles, and how can we use them as a framework?First, do no harm As befits technology with an autonomous element, the first principle focuses on the deployment of AI systems in ways that will avoid any negative impact on social, cultural, economic, natural or political environments. An AI lifecycle should be designed to respect and protect human rights and freedoms. Systems should be monitored to ensure that that situation is maintained and no long-term damage is being done.Avoid AI for AI’s sakeEnsure that the use of AI is justified, appropriate and not excessive. There is a distinct temptation to become over-zealous in the application of this exciting technology and it needs to be balanced against human needs and aims and should never be used at the expense of human dignity. Safety and securitySafety and security risks should be identified, addressed and mitigatedthroughout the life cycle of the AI system and on an on-going basis. Exactly the same robust health and safety frameworks should be applied to AI as to any other area of the business. EqualitySimilarly, AI should be deployed with the aim of ensuring the equal and just distribution of the benefits, risks and cost, and to prevent bias, deception, discrimination and stigma of any kind.SustainabilityAI should be aimed at promoting environmental, economic and social sustainability. Continual assessment should be made to address negative impacts, including any on the generations to come. Data privacy, data protection and data governanceAdequate data protection frameworks and data governance mechanisms should be established or enhanced to ensure that the privacy and rights of individuals are maintained in line with legal guidelines around data integrity and personal data protection. No AI system should impinge on the privacy of another human being.Human oversightHuman oversight should be guaranteed to ensure that the outcomes of using AI are fair and just. Human-centric design practises should be employed and capacity to be given for a human to step in at any stage and make a decision on how and when AI should be used, and to over-ride any decision made by AI. Rather dramatically but entirely reasonably, the UN suggests any decision affecting life or death should not be left to AI. Transparency and ExplainabilityThis, to my mind, forms part of the guidelines around equality. Everyone using AI should fully understand the systems they are using, the decision-making processes used by the system and its ramifications. Individuals should be told when a decision regarding their rights, freedoms or benefits has been made by artificial intelligence, and most importantly, the explanation should be made in a way that makes it comprehensible. Responsibility and AccountabilityThis is the whistleblower principle, that covers audit and due diligence as well as protection for whistleblowers to make sure that someone is responsible and accountable for the decisions made by, and use of, AI. Governance should be put in place around the ethical and legal responsibility of humans for any AI-based decisions. Any of these decisions that cause harm should be investigated and action taken. Inclusivity and participationJust as in any other area of business, when designing, deploying and using artificial intelligence systems, an inclusive, interdisciplinary and participatory approach should be taken, which also includes gender equality. Stakeholders and any communities that are affected should be informed and consulted and informed of any benefits and potential risks. Building your AI integration around these central pillars should help you feel reassured that your entry into AI integration is built on an ethical and solid foundation. Photo by <a href="https://unsplash.com/@tinkerman?utm_content=creditCopyText&amp;utm_medium=referral&amp;utm_source=unsplash" rel="nofollow">Immo Wegmann</a> on <a href="https://unsplash.com/photos/a-piece-of-cardboard-with-a-keyboard-appearing-through-it-vi1HXPw6hyw?utm_content=creditCopyText&amp;utm_medium=referral&amp;utm_source=unsplash" rel="nofollow">Unsplash</a>Want to learn more about AI and big data from industry leaders? Check out<a href="https://www.ai-expo.net/" rel="nofollow"> AI &amp; Big Data Expo</a> taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including <a href="https://intelligentautomation-conference.com/northamerica/" rel="nofollow">Intelligent Automation Conference</a>, <a href="https://www.blockchain-expo.com/" rel="nofollow">BlockX</a>,<a href="https://digitaltransformation-week.com/" rel="nofollow"> Digital Transformation Week</a>, and <a href="https://www.cybersecuritycloudexpo.com/" rel="nofollow">Cyber Security &amp; Cloud Expo</a>.Explore other upcoming enterprise technology events and webinars powered by TechForge <a href="https://techforge.pub/events/" rel="nofollow">here</a>.The post <a href="https://www.artificialintelligence-news.com/news/the-ethics-of-ai-and-how-they-affect-you/" rel="nofollow">The ethics of AI and how they affect you</a> appeared first on <a href="https://www.artificialintelligence-news.com/" rel="nofollow">AI News</a>.

The ethics of AI and how they affect you

2018년부터 AI와 함께 일해 왔으며, 구조화되지 않은 대세 따르기와 함께 느린 하지만 꾸준한 AI의 발전을 주목하고 있습니다. 이제 초기의 두려움이 어느 정도 가라앉으면서...

GM(Good Morning) 이더리움(ETH), 에이다(ADA), 폴리곤(Matic), 솔라나(SOL), 유니스왑(UNI), 크립토닷컴 코인(CRO), 후오비 토큰(HT), 미나 프로토콜(MINA), 밸런서(BAL), 옵티미즘(OP), 컴파운드(COMP), 이더리움 네임서비스(ENS), 알위브(AR), 온톨로지(ONT), 앰프(AMP), 아비트럼(Arb), 앱토스(APT), 알케미페이(ACH), 우마(UMA), 플레이댑(PLA), Ronin(RON), 프로젝트 갤럭시(GAL), 리퀘스트(REQ), 온톨로지가스(ONG), 엑스플라(XPLA), 신고가, 트론(TRON), 프롬(Prom), 덴트(Dent), 렌(Ren), 킨(Kin), 비트(Bit), 블록, 초당 거래 수(TPS), 탈중앙화 거래소(DEX), 초기 파밍 제공(IFO), 초기 토큰 제공(ITO), 미디엄(Medium), 자산 수익률(ROA), 홀더, 유동성 공급자(LP), 예치(stake)

AI의 윤리와 그것이 당신에게 미치는 영향

2025 T-EDGE 글로벌 대화의 비공개 원탁회의에서 막대한 자금을 운용하는 5명의 실무 전문가들은 "1011 블랙 스완" 시대 이후 디지털 자산 관리를 위한 명확한 규칙을 수립했습니다.
기사 작성자: 리징잉 기사 출처: 배런스
12월 20일, 2025T-EDGE 글로벌 다이얼로그에서 사회자 시게루와 자산운용사, 거래 플랫폼, 그리고 현장 전략 전문가 5명이 "디지털 자산 관리 및 거래 전략"이라는 주제로 심도 있는 토론을 진행했습니다. 이번 컨퍼런스에서는 온체인 집중적으로 논의했습니다.

디지털 자산 운용, 구조조정 국면에 진입: 탈중앙화 거래소(DEX)에서 자금 철수, 소형 코인 투자 축소, 그리고 "실수에서 교훈을 얻은" 팀에만 투자 | 2025 T-EDGE 글로벌 다이얼로그

새해가 며칠 남지 않은 가운데, 비트코인(비트코인(BTC))은 9만 달러는커녕 10만 달러조차 돌파하지 못하고 있습니다. 9만 달러 아래에서 횡보세를 이어가는 가운데, 추가 상승에 대한 기대는 낮아지고 있습니다.

바이낸스 창립자 창펑자오(CZ) 비트코인(비트코인(BTC))과 새해 메시지를 전했습니다!

핵심 요약
리플과 연계된 에버노스는 리플(XRP) 보유량에서 2억 2천만 달러의 손실을 입었습니다.
에버노스는 약 9억 4천7백만 달러를 투자하여 약 3억 8천9백만 리플(XRP) 확보했습니다.
Evernorth Holdings는 ...의 지원을 받는 리플(XRP) 트레져리 기관입니다.