Tag: Artificial Intelligence (AI)

In the fast-moving world of cybersecurity, predicting the full threat landscape is near impossible. But it is possible to extrapolate major risks in the coming months based on trends and events of last year. FTI Consulting's Anthony J. Ferrante outlines what organizations must be aware of to be prepared. In ...

Experts at Nielsen discuss how the internal audit profession is evolving to best suit board and senior leadership needs, as well as where IA is lagging.

With 2019 planning on the horizon, audit teams are beginning to consider external factors that threaten to disrupt the success of their organization’s key objectives. Gartner’s Malcolm Murray, Rafael Go and Leslee McKnight analyze 11 key risks, connected by four major risk themes, that can help audit teams more effectively ...

AI can be hugely helpful in an HR context, but there are challenges employers should be aware of. Cowden Associates’ President Elliot Dinkin explores how companies can use AI in human resources and what potential problems could arise. As more employers are exploring the use of artificial intelligence (AI) in ...

Talent is every organization’s lifeblood. Jim DeLoach discusses how, coupled with demographic and social trends, the technologies of the digital age are transforming the workplace. Executives and directors need to pay attention as electronic workers (machines and algorithms) become more prominent in their companies. In last month’s article, I discussed ...

Implementing Protections Against Cyberattacks Many recent cyberattacks have come through exposures in third-party systems. There is an evident need to monitor the cybersecurity of third parties, and this puts the spotlight on cyber supply chain risk management (C-SCRM). Experts from Kroll outline what companies can do to protect their systems ...

A Much-Needed Intelligent Approach to Segmentation Anti-money laundering (AML) is a complex and persistent challenge for financial institutions. AI is transforming key elements of the AML workflow and delivering an order of magnitude in performance improvements in the process. Money laundering has become the leading source of compliance fines for ...

How to avoid fraud and corporate crime (while improving compliance programs) from Rafael Aguilera Gordillo, professor of Corporate Compliance and International Security. Increasingly complex economic crime is jeopardizing justice in general and criminal law in particular. On many occasions, there are issues with effectively facing the questions and difficulties posed ...

What happens when decisions made by an artificial intelligence platform lead to injury or damage? Is the “system” responsible? Fox Rothschild’s Chris Temple discusses legal liability when AI decisions made without human input go wrong. More and more process systems deployed in public infrastructure, industrial, commercial and residential applications are ...

Artificial Intelligence Takes On Transactional Fraud In the field of fraud prediction, with transactional fraud raising every day; investors, board, management and business heads are keen to look at possibilities of detecting fraudulent transactions before they pass through the system. Machine learning algorithms bring efficiency in identifying potentially fraudulent transactions. ...

A majority of organizations are still struggling to comply with GDPR, and – just as bad – only 14 percent of U.S.-based companies are ready to comply with the CCPA. Waterline Data’s Alex Gorelik outlines what organizations can do to bake compliance into every aspect of company culture. One month ...

Article 22 of GDPR states that AI cannot be used as the sole decision-maker in choices that have legal or similarly significant effects on users; human intervention is a must. Mphasis’ Eric Winston explores how companies can accelerate overall GDPR compliance while doing right by their customers. As the European ...