Responsible AI: Finding the Promise; Avoiding the Unintended Consequences
Angela Mangiapane
President, Mars Global Services | HR | Finance | Digitalization | Private Board Director | Human Capital Value Creator | Purpose Driven Transformation Expert
“Artificial intelligence,” or AI, is not a new phenomenon, but over the past year, it’s reached a new inflection point. What’s causing all the buzz?
I was interviewed by CoolBrands People to discuss what is causing all the buzz. Here is part of our conversation.?
Angela, what is your observation of the rapid rise of AI — and its accelerating role in our businesses and our lives?
At the end of January 2022, when my home team, the Philadelphia Eagles, lost the Superbowl, a colleague sent me a poem he wrote about the loss. I learned later that it was composed entirely by the AI chatbot ChatGPT. At that moment I realized just how pervasive AI had become. Suddenly, everywhere I turned, AI dominated the conversation — from artists wondering about its effect on the value of their work to businesses questioning how much to open AI platforms to their employees. The rapid rate at which these discussions have emerged has us all talking about the exciting possibilities of AI but also the potential watch-outs.
How far along is AI on its journey forward?
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It’s been said that AI today is like a confident toddler. Translation: it’s often confidently inaccurate. If we put a question into ChatGPT, it may provide a strange response. Interacting effectively with the program requires an understanding of how to best format questions to receive the most precise and relevant answer. As we continue to be more exacting with our questions, and as more people feed into the program, generative chatbots are expected to use the data to consistently improve its responses.
What ethical dilemmas does AI present? How can we meet the challenges?
Complex AI algorithms often operate like “black boxes,” producing results without clear and accessible explanations of how conclusions were reached. This lack of transparency can expose organizations to vulnerabilities and risks in decision-making.
Thank you, Angela, for sharing your insights with us.
Chief Privacy Officer | Responsible AI Leader | Data, Cybersecurity & Tech Risk Executive | Fellow Information Privacy | Data Protection Officer | Board Advisor
7 个月Thanks Angela Mangiapane , so great to hear your leadership thoughts on such a topical issue! ????
Marketing Professional | MSMS 2024 @ BU | Master's in Management Studies
7 个月Thank you for providing us such an insightful conversation. How can organizations effectively navigate the ethical challenges and ensure transparency in decision-making with the growing use of AI in various sectors?
Virtual Assistant | Email Marketing | Email Campaign Manager | Shopify Product Listing | Product Uploading | B2B Lead Generation | Copy writer | Email Automation | Data Entry
7 个月Exciting insights on the evolving landscape of AI ??
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7 个月Fantastic insights shared here ??
Technological Innovation | Artificial Intelligence | Strategy | Enterprise Architecture | Storytelling | Research | Consulting | Keynote Speaker & Panelist | Investor
7 个月Great interview Angela Mangiapane Very apt metaphore- 'confident toddler'. But that raises the question- toddlers have possibilities to grow up as an adult and be anything- a divine human being or a devil. The inflection point is real, and the responsibilities huge. There has to be balance between nurturing innovation and complying to the different AI regulations coming up. One at the cost of another will only pull us backward in the evolutionary journey of technology. I also view it that Technology always evolves at a speed to sync up with the pace of evolution of challenges and crisis humans have created. There are certain areas where AI can play a huge role and no amount of human agents can replace it. Examples include - Climate change, Drug Discovery, Defense Systems, Augmented support, Discovery and harvesting of natural resources have a lot of open space for AI innovation. The responsibilty is much bigger than self-expression post a lost superbowl game.