Controversial Creative Australia chairman retires early
The chairman of federal arts funding body Creative Australia has retired before the expiry of his first five-year term, in a move the government says was unrelated to his role in the Venice Biennale fiasco.
Robert Morgan, an advertising and marketing executive, joined Creative Australia's board as chairman in July 2021 on a term due to expire in August 2026, but has now been replaced by his deputy, former Sydney Festival director Wesley Enoch.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
18 minutes ago
- Yahoo
CareRx Reports Voting Results from Annual General Meeting of Shareholders
Toronto, Ontario--(Newsfile Corp. - June 6, 2025) - CareRx Corporation (TSX: CRRX) ("CareRx" or the "Company"), Canada's leading provider of pharmacy services to seniors living and other congregate care communities, today announced that the nominees listed in the Management Information Circular for the Annual General Meeting of Shareholders (the "Meeting"), which was held on June 5, 2025, were elected as directors of the Company. In addition, all other resolutions put to vote at the Meeting were passed. The results of the vote for the election of directors at the Meeting are as follows: Nominees Votes For Kevin Dalton 31,081,208 (99.808%) Ralph Desando 31,099,751 (99.868%) Puneet Khanna 31,117,133 (99.924%) Jason Maguire 31,030,902 (99.647%) Bruce Moody 31,124,633 (99.948%) Maria Perrella 31,104,459 (99.883%) Jeff Watson 31,124,633 (99.948%) About CareRx Corporation CareRx is Canada's leading provider of pharmacy services to seniors living and other congregate care communities (long-term care homes, retirement homes, assisted living facilities and group homes). We are a national organization with a large network of pharmacy fulfillment centers strategically located across the country. This allows us to deliver medications in a timely and cost-effective manner and quickly respond to routine changes in medication management. We use best-in-class technology that automates the preparation and verification of multi-dose compliance packaging of medication, providing the highest levels of safety and adherence for individuals with complex medication regimens. We take an active role in working with our home operator partners to promote resident health, staff education, and medication system quality and efficiency. For additional information, please contact: Puneet KhannaPresident & Chief Executive OfficerCareRx Corporation416-927-8400 Suzanne BrandChief Financial OfficerCareRx Corporation416-927-8400 Neil WeberInvestor RelationsLodeRock To view the source version of this press release, please visit Error 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
CBS News
19 minutes ago
- CBS News
Colorado Safeway union workers agree to go on strike
The United Food Commercial Workers Local 7 said union members in Colorado have agreed to go on strike. This comes after a 2-day voting period where union members agreed to strike and after nine months of negotiations. The Local 7 union is accusing Albertsons, which owns Safeway, of unfair labor practices by not offering retroactive wage increases and cutting out the union when addressing employee grievances. The union also wants better pay and health care. CBS This comes as contract negotiations between the workers and King Soopers are happening at the same time. King Soopers and its workers have until June 8 to hammer out a new deal. "Both of these big groceries, they are just big bullies," said UFCW Local 7 President Kim Cordova. "They are just bullies at the table, and they are consolidating their power again to control the labor market for grocery store workers." Safeway released this statement: Safeway in Colorado remains committed to productive discussions with UFCW Local 7 and we have contract extensions in place while we do so. We respect the rights of workers to engage in collective bargaining and are negotiating in good faith to achieve an agreement. Our focus remains on providing exceptional service to our customers and fostering a positive working environment for our associates. All Safeway and Albertsons stores in Colorado are open and ready to continue serving our communities. The Local 7 union had to give 72 hours' notice before striking. The strike would affect Safeway stores in the Denver metro area. For now, Local 7 says workers will report as normal until a strike begins.
Forbes
19 minutes ago
- Forbes
AI Safety: Beyond AI Hype To Hybrid Intelligence
Autonomous electric cars with artificial intelligence self driving on metropolis road, 3d rendering The artificial intelligence revolution has reached a critical inflection point. While CEOs rush to deploy AI agents and boast about automation gains, a sobering reality check is emerging from boardrooms worldwide: ChatGPT 4o has 61% hallucinations according to simple QA developed by OpenAI, and even the most advanced AI systems fail basic reliability tests with alarming frequency. In a recent OpEd Dario Amodei, Anthropic's CEO, called for regulating AI arguing that voluntary safety measures are insufficient. Meanwhile, companies like Klarna — once poster children for AI-first customer service — are quietly reversing course on their AI agent-only approach, and rehiring human representatives. These aren't isolated incidents; they're the cusp of the iceberg signaling a fundamental misalignment between AI hype and AI reality. Today's AI safety landscape resembles a high-stakes experiment conducted without a safety net. Three competing governance models have emerged: the EU's risk-based regulatory approach, the US's innovation-first decentralized framework, and China's state-led centralized model. Yet none adequately addresses the core challenge facing business leaders: how to harness AI's transformative potential while managing its probabilistic unpredictability. The stakes couldn't be higher. Four out of five finance chiefs consider AI "mission-critical," while 71% of technology leaders don't trust their organizations to manage future AI risks effectively. This paradox — simultaneous dependence and distrust — creates a dangerous cognitive dissonance in corporate decision-making. AI hallucinations remain a persistent and worsening challenge in 2025, where artificial intelligence systems confidently generate false or misleading information that appears credible but lacks factual basis. Recent data reveals the scale of this problem: in just the first quarter of 2025, close to 13,000 AI-generated articles were removed from online platforms due to hallucinated content, while OpenAI's latest reasoning systems show hallucination rates reaching 33% for their o3 model and a staggering 48% for o4-mini when answering questions about public figures 48% error rate. The legal sector has been particularly affected, with more than 30 instances documented in May 2025 of lawyers using evidence that featured AI hallucinations. These fabrications span across domains, from journalism where ChatGPT falsely attributed 76% of quotes from popular journalism sites to healthcare where AI models might misdiagnose medical conditions. The phenomenon has become so problematic that 39% of AI-powered customer service bots were pulled back or reworked due to hallucination-related errors highlighting the urgent need for better verification systems and user awareness when interacting with AI-generated content. The future requires a more nuanced and holistic approach than the traditional either-or perspective. Forward-thinking organizations are abandoning the binary choice between human-only and AI-only approaches. Instead, they're embracing hybrid intelligence — deliberately designed human-machine collaboration that leverages each party's strengths while compensating for their respective weaknesses. Mixus, which went public in June 2025, exemplifies this shift. Rather than replacing humans with autonomous agents, their platform creates "colleague-in-the-loop" systems where AI handles routine processing while humans provide verification at critical decision points. This approach acknowledges a fundamental truth that the autonomous AI evangelists ignore: AI without natural intelligence is like building a Porsche and giving it to people without a driver's license. The autonomous vehicle industry learned this lesson the hard way. After years of promising fully self-driving cars, manufacturers now integrate human oversight into every system. The most successful deployments combine AI's computational power with human judgment, creating resilient systems that gracefully handle edge cases and unexpected scenarios. LawZero is another initiative in this direction, which seeks to promote scientist AI as a safer, more secure alternative to many of the commercial AI systems being developed and released today. Scientist AI is non-agentic, meaning it doesn't have agency or work autonomously, but instead behaves in response to human input and goals. The underpinning belief is that AI should be cultivated as a global public good — developed and used safely towards human flourishing. It should be prosocial. While media attention focuses on AI hallucinations, business leaders face more immediate threats. Agency decay — the gradual erosion of human decision-making capabilities — poses a systemic risk as employees become overly dependent on AI recommendations. Mass persuasion capabilities enable sophisticated social engineering attacks. Market concentration in AI infrastructure creates single points of failure that could cripple entire industries. 47% of business leaders consider people using AI without proper oversight as one of the biggest fears in deploying AI in their organization. This fear is well-founded. Organizations implementing AI without proper governance frameworks risk not just operational failures, but legal liability, regulatory scrutiny, and reputational damage. Double literacy — investing in both human literacy (a holistic understanding of self and society) and algorithmic literacy — emerges as our most practical defense against AI-related risks. While waiting for coherent regulatory frameworks, organizations must build internal capabilities that enable safe AI deployment. Human literacy encompasses emotional intelligence, critical thinking, and ethical reasoning — uniquely human capabilities that become more valuable, not less, in an AI-augmented world. Algorithmic literacy involves understanding how AI systems work, their limitations, and appropriate use cases. Together, these competencies create the foundation for responsible AI adoption. In healthcare, hybrid systems have begun to revolutionize patient care by enabling practitioners to spend more time in direct patient care while AI handles routine tasks, improving care outcomes and reducing burnout. Some leaders in the business world are also embracing the hybrid paradigm, with companies incorporating AI agents as coworkers gaining competitive advantages in productivity, innovation, and cost efficiency. Practical Implementation: The A-Frame Approach If you are a business reader and leader, you can start building AI safety capabilities in-house, today using the A-Frame methodology – 4 interconnected practices that create accountability without stifling innovation: Awareness requires mapping both AI capabilities and failure modes across technical, social, and legal dimensions. You cannot manage what you don't understand. This means conducting thorough risk assessments, stress-testing systems before deployment, and maintaining current knowledge of AI limitations. Appreciation involves recognizing that AI accountability operates across multiple levels simultaneously. Individual users, organizational policies, regulatory requirements, and global standards all influence outcomes. Effective AI governance requires coordinated action across all these levels, not isolated interventions. Acceptance means acknowledging that zero-failure AI systems are mythical. Instead of pursuing impossible perfection, organizations should design for resilience — systems that degrade gracefully under stress and recover quickly from failures. This includes maintaining human oversight capabilities, establishing clear escalation procedures, and planning for AI system downtime. Accountability demands clear ownership structures defined before deployment, not after failure. This means assigning specific individuals responsibility for AI outcomes, establishing measurable performance indicators, and creating transparent decision-making processes that can withstand regulatory scrutiny. The AI safety challenge isn't primarily technical — it's organizational and cultural. Companies that successfully navigate this transition will combine ambitious AI adoption with disciplined safety practices. They'll invest in double literacy programs, design hybrid intelligence systems, and implement the A-Frame methodology as standard practice. The alternative — rushing headlong into AI deployment without adequate safeguards — risks not just individual corporate failure, but systemic damage to AI's long-term potential. As the autonomous vehicle industry learned, premature promises of full automation can trigger public backlash that delays beneficial innovation by years or decades. Business leaders face a choice: they can wait for regulators to impose AI safety requirements from above, or they can proactively build safety capabilities that become competitive advantages. Organizations that choose the latter approach — investing in hybrid intelligence and double literacy today — will be best positioned to thrive in an AI-integrated future while avoiding the pitfalls that inevitably accompany revolutionary technology transitions. The future belongs not to companies that achieve perfect AI automation, but to those that master the art of human-AI collaboration. In a world of probabilistic machines, our most valuable asset remains deterministic human judgment — enhanced, not replaced, by artificial intelligence.
