Detecting lying and deception
November 25, 2022
9:00 am - 12:00 pm
This course will be hosted online through Microsoft Teams. You will receive the course link and further instructions after registration.
Our expert team delivers 2 live sessions (25 November, 2022, 09.00am – 12.00pm). We will also provide a course booklet and readings which you can engage with at your own pace. You will receive a certificate and CPD hours upon completion.
We live in a world where the first impression counts. Very often, we do not take the time to scrutinise details, or become seduced by the positive emotions, or we are lulled into false hopes – believing what we want to think. When unethically applied, we witness frauds and con artistry, practised to a high degree of sophistication with even sophisticated financial regulators deceived – for decades.
The signs of deception are not uncommon. In this course, you will learn to understand how society, financial institutions and its players can sometimes come together to create an environment triggering deceit. You will understand how the use of certain cues subtly makes favourable impressions biasing our judgements. Summarising the latest findings from neuroscience and evidence-based practices from law enforcement agencies including the FBI this course will sensitise you to read early warning signs suggesting something is amiss.
The design of this interactive course equips you with the knowledge to detect tell-tale signs about deceits and raises some red flags in your mind that you should follow up. The course will provide some tools and techniques in dealing with a variety of deceptions, including the application of AI technologies to warn of deception.
Session 1: Implications of deception
Dangers of first impressions; Case study: Wirecard – Europe’s biggest fraud case; Common red flags and signs of deception
Session 2: Lessons learnt
Cognitive biases; Cues of trustworthiness; Application of AI technologies
Please contact our Education Consultant, Colin Wise, using the contact form below.