Accenture’s Post

We are entering a better, more inclusive world The rise of Artificial Intelligence has brought us many opportunities and challenges, and while we need to embrace the new we also need to get it right Ensuring fairness in AI isn't just about ideals, it's about making sure everyone has a fair chance, no matter who they are.

Accenture has long realized the potential for #AI to help transform our company, and the need to responsibly develop, design and deploy this fast-growing technology. Early on, Accenture’s leadership knew that significant negative consequences—including bias, hallucinations, workforce displacement, or even cyberattacks—could result from AI’s misuse. Read more about our blueprint for responsible AI and how we have operationalized ethical AI in our company and in our client work…

The High Cost of Inefficiencies in Millions, Billions, and even Trillions of Dollars in the digital age of change and disruptive era of emerging technologies: Does Artificial Intelligence (AI) have the potential to streamline inefficient HIRIGN process and help organizations save millions, billions, and even trillions of dollars? 1) What is the C-suite? About the fiduciary duty of the board of directors? 2) Does Generative Artificial Intelligence (GenAI) have the potential to streamline the inefficient HIRING process? From the United Nations for Disaster Risk Reduction (UNDRR): "Climate Crisis puts everyone at risk – but children and pregnant women are especially vulnerable. Climate change is making heatwaves longer, more frequent and more severe. Extreme heat is not only uncomfortable but can pose serious health risks to infants, children, pregnant women and the elderly. Inaction is not an option. We need to build disaster resilience and take BOLD action." 1) What is the list of the world's TOP 100 High Risks and Global Challenges from Climate Change to Climate Finance, FRAUD, Macroeconomic and Geopolitical Uncertainties, Global Capital Market, Financial Systems and Cybersecurity Threat in 2024? 2) What is Policy? Does Generative AI (GenAI) have the potential to leverage cutting-edge technologies in Policy Design, Formulation, Adoption, Implementation, Execution and Enforcement? 3) What is Organizational Culture? About Hierarchical Structure? 4) Does AI have the potential to eliminate waste, streamline inefficient processes, prevent FRAUD and help organizations SAVE tens of millions, hundreds of billions, and even trillions of dollars? What is FRAUD? About the Fraud Scheme? 5) What is the C-suite? About the fiduciary duty of the board of directors? How to define the critical role of the oversight committee and steering committee? What is the difference between Board, Council, and Committee? My Global Leadership Legacy, Milestones, Scientific Journey as a successful global servant, transformational and inspirational leader with world-class experience, cleverness, technological prowess and exceptional leadership competencies: Building trust is crucial for effective leadership because it fosters a positive environment where team members feel valued and motivated to contribute. Research and learn more from the right experienced and talented EXPERTS with the right skill sets, scientific knowledge, and exceptional leadership competencies about Climate Change, Climate Finance, Climate Science, Climate Engineering and Climate Technology. Is Technology a Game-changer? Do METRICS matter? What is Benchmarking? Leadership is a journey of continuous growth, learning, world-class experience and development. As a lifelong learner, voracious reader and world traveler, I am passionate about upskilling opportunities. I cultivate a passion for reading, learning and traveling around the globe with intellectual curiosity.

Fairness in AI is a necessity

Fairness isn't just an ideal - it's a necessity. Champion fairness in AI by ensuring equitable outcomes and opportunities for all stakeholders, creating a world where technology serves everyone equally. Find out more about how to scale AI responsibly: https://accntu.re/3RVxVLf [With this video description, we aim to assist individuals who are blind or visually impaired and rely on screen readers: Video with black background, “AI” animates in bold purple letters. Copy fills in below in white letters, “can be risky without.” “FAIRNESS” animates in capital, bold letters, with the AI in the word fairness highlighted in purple letters, and the other letters populate in white, highlighting the AI in FAIRNESS. Text animates in “Find out how to scale AI responsibly - with confidence and FAIRNESS.” Text animates out and is replaced with a purple Accenture logo.]

Fairness isn't just an ideal - it's a necessity. Champion fairness in AI by ensuring equitable outcomes and opportunities for all stakeholders, creating a world where technology serves everyone equally. Find out more about how to scale AI responsibly: https://accntu.re/4cPlBEk [With this video description, we aim to assist individuals who are blind or visually impaired and rely on screen readers: Video with black background, “AI” animates in bold purple letters. Copy fills in below in white letters, “can be risky without.” “FAIRNESS” animates in capital, bold letters, with the AI in the word fairness highlighted in purple letters, and the other letters populate in white, highlighting the AI in FAIRNESS. Text animates in “Find out how to scale AI responsibly - with confidence and FAIRNESS.” Text animates out and is replaced with a purple Accenture logo.]

🔍 AI Unveiled Week #2: Busting the Myth - AI Decisions Lack Transparency A common hesitation around adopting AI is the fear of a 'black box'—where decisions are made without clarity. Let’s debunk this: 1. Explainable AI: Innovations in AI technology now emphasize explainable AI, which provides clear, understandable explanations of how AI models make their decisions. 2. Regulations and Standards: Increasing regulatory focus ensures that AI systems are designed with transparency in mind, compelling developers to create understandable, traceable AI processes. 3. Partnership Approach: Many AI tools are designed to work in partnership with human oversight, ensuring decisions are not just automated but also aligned with organizational values and ethics. The Takeaway: Transparency in AI is not just possible; it's a priority. This ensures that AI can be trusted and integrated responsibly into critical decision-making processes. 💡 Your Insight: What steps do you think are necessary to ensure AI transparency in businesses? Let’s get the conversation started! #AIUnveiled #TransparencyInAI #EthicalAI #TechEthics

The future of AI in M&A is here, and it's changing the game. With the integration of large language models (LLM) and generative AI (GenAI), the M&A industry is experiencing significant improvements in efficiency and productivity. From streamlining due diligence to identifying potential targets, AI is transforming traditional processes and paving the way for a more data-driven approach. The use of AI in M&A has already shown to be beneficial, with dealmakers citing increased productivity as the top advantage. By automating tasks and providing objective analyses, AI allows dealmakers to focus on strategic decisions and creative thinking. However, despite the potential benefits, there is still a gap between familiarity and adoption of AI in the M&A industry. Concerns around data privacy, security, and bias have led to calls for regulation and responsible use of AI. But with governments stepping in to regulate AI and financial institutions playing a key role in shaping its use, the future of AI in M&A looks promising. Are you ready to embrace AI in your M&A processes? Hi, 👋🏼 my name is Doug, I love AI, and I post content to keep you up to date with the latest AI news. Follow and ♻️ repost to share the information! #a

For both ethical and legal reasons, FAIRNESS in AI-powered 1:1 Engagement technology plays a crucial role in its overall success. When AI systems are fair and treat all users equitably, they are more likely to be trusted and widely adopted. Trust is a fundamental factor in the success of AI because users are more likely to engage with and rely on AI systems that they perceive as fair and unbiased. #UnbiasedAI #EquitableAI #SuccessfulAI