search.noResults

search.searching

saml.title
dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
Book Review Feature


Intelligence made clear


Erica Farmer delivers a clear and focussed manual on AI for the people profession


Review by ee ow, Chair, The Learning Network Kogan PAGE, £26.99


AI for People Professionals takes a pragmatic, grounded approach to the e of rtii inteiene in HR, cutting through hype to fo on wht t work in practice. Rather than assuming prior knowledge, Erica begins right at the beginning, addressing common misconceptions about AI and clearly explaining why it is worth considering in people-focused roles. A helpful glossary of key terms and plain-language explanations make the book accessible even to complete novices, as well as those who are already on their AI journey. One of the book’s greatest strengths is its clear focus on


the user, not the technology. This eolefirst aroach hels to uild confidence and cometence in the reader from the very beginning. Erica consistently encourages


intentional use of AI, helping readers think critically about what AI can do for them and their secific role rather than adopting tools simply because they exist. This human- centred framing feels particularly important in an HR context and sets the tone for the rest of the book. The structure is logical and easy


to follow, with clear headings within chapters that make it simple to dip in and out as needed. Core HR functions are explored in turn, each


supported by practical use cases that show AI in action. This means no matter what your area of specialism in HR, you gain value and insight. The book also covers the fundamentals, such as how to create effective prompts, giving readers the confidence to eeriment without feeling overwhelmed. Importantly, Erica highlights potential pitfalls, including bias, and offers guidance on how to use AI responsibly and ethically. Throughout, the emphasis remains


his oos peoplefist appoah helps to uild onfidene and ompetene in the eade om the e einnin


on practical application. Multiple models for AI adoption are presented, alongside a toolkit designed to support sustainable, long-term use rather than uick fies. eferences are included for readers who want to explore further, reinforcing the book’s credibility and usefulness. The closing chapters look to the future, offering resources to help readers stay up to date as AI eoles as well as a reectie log to support ongoing learning. Overall, this is a thoughtful, well-structured, and highly practical guide that will appeal to HR professionals at any stage of their AI journey.n


Special Edition | 67


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76