『Who’s the Human? with Daphne Thomson』のカバーアート

Who’s the Human? with Daphne Thomson

Who’s the Human? with Daphne Thomson

著者: Daphne Thomson
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Practical AI tips and tools to help local governments improve public services, simplify daily work, and better serve their communities.© 2026 Who’s the Human? with Daphne Thomson 政治・政府 政治学
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  • Is using AI to Apply for Jobs CHEATING?
    2026/10/16

    Is using AI to apply for jobs cheating, or is it simply the new way candidates prepare?

    In this episode, I sit down with Ken Glover, President and Managing Partner of Human Edge Executive Search, to talk about one of the biggest questions showing up in recruitment right now: Can AI help you get hired, or is it crossing an ethical line?

    We talk about how candidates are using AI to write resumes, tailor cover letters, prepare for interviews, and organize their experience using tools like the STAR method. But we also dig into the real concern for recruiters and employers: what happens when AI moves from helping someone communicate clearly to helping them misrepresent their skills, experience, or judgment?

    Ken shares his perspective from the executive search world on where AI can be a helpful tool, where it becomes a red flag, and why the human element in hiring still matters so much.

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    27 分
  • AI Governance Public Sector Challenges
    2026/10/16
    Discussion with AI governance experts analyzed Bill 194’s public sector implications with the need for explainable AI and skill development. Bill 194 and Public Sector Analysis of Bill 194 indicated that the public sector accepted the regulations but needs resources to adhere to them, emphasizing the elevated need for explainable AI. The legislation places pressure on teams to understand model operations and manage shadow AI sprawl within public sector operations. Addressing Skill Gaps and Governance The massive skill shortage, especially in the public sector, requires shifting AI from an IT issue to a governance concern that affects insurance and council matters. Small municipalities should map existing processes to identify automation opportunities and consider collaboration with other small municipalities to sustain AI models. Policy Integration and Hyperscaler Influence Integrating AI elements into existing conduct and privacy policies is more beneficial than creating standalone AI policies, supported by investing in AI drills and tabletop exercises. Concern exists that large hyperscalers are developing the AI constitution, which may dictate future government AI policies to support their products and economic interests. Details● Introduction and Context Setting: Daphne Thomson and Ali Abbas began the meeting with an informal check-in, noting that Ali made time for the meeting despite travel plans [i]. Daphne explained their work involves implementing practical AI for local governments, focusing on the practical aspects and high-level training [i]. They intended to generate additional content and information for these governmental bodies through their discussion [i].● Discussion Agenda and Scope: Daphne outlined the agenda, which included discussing Bill 194 and its differences and implications for Ontario, Quebec, and other provinces [i, j]. Other topics included looking at privacy legislation changes in Alberta, the importance of policy, and the ongoing conversation surrounding an AI constitution [i, j]. The plan was to have a 20-minute, informal chat about what is happening in AI within the governance and security domains [i, j].● Speaker Introductions: Ali Abbas confirmed that they prefer to be called Ali Herji and suggested their role be kept specific to teaching masters-level AI courses at UFRE [i]. Daphne introduced Ali as a former professor from their MBA program in artificial intelligence, emphasizing Ali's expertise and the positive impact of their classes [i, j]. Ali expressed appreciation for the introduction, noting that the engagement with Daphne in class was a pleasure and that they learned a lot from their submissions [i].● Analysis of Bill 194 and its Impact: Ali explained that provincial legislation regarding AI, such as Bill 194, is not unique to Ontario or Quebec, as every place touched by digitalization is discussing policies for AI control [i, j]. They noted that the bill is specific to the public sector, and the sector's response was not resistance, but rather a request for the necessary resources to adhere to the regulations [i, j]. They advised that the need for human and specialist resources in AI will increase as entities recognize the need for positions like a Chief AI Officer [i].● The Pressure of Explainable AI and Sprawl: Bill 194 elevates the need for explainable AI, requiring a strong grip on how models operate and transparency regarding their generative outputs and decisions [i]. This legislation places pressure on executive teams and engineers to understand their models and may lead to a rethink of some AI deployments, moving away from viewing AI as a "black box" [i]. Furthermore, organizations must develop a clear declaration of where AI is being used in public sector operations, anticipating the growing challenge of controlling "shadow AI" and AI sprawl [i, j].● Challenges of Skill Shortage and Governance in Public Sector AI: Daphne observed that while new expertise is needed to implement governance frameworks, there is currently a massive skill shortage, particularly in the public sector where IT staff often focus only on cyber security and hardware [i, j]. AI is becoming a governance issue that extends beyond the IT department to council, affecting aspects like insurance requirements for good governance [i, j]. The practical challenge lies in creating attainable, tiered governance frameworks so that small local governments can benefit from AI without being punished by overly complex requirements from large consulting firms [i].● Addressing Skill Gaps and Practical Implementation in Smaller Municipalities: Ali countered the idea of an AI professional shortage by stating there is a shortage of AI professionals who can articulate the return on investment and innovation, explaining that many can deploy "amazing things" but struggle to integrate them into workflows [i, j]. Ali advised small ...
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    30 分
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