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Ethical AI is Built On Transparency, Accountability and Trust
AI systems based on machine learning can be used to audit financial data efficiently and look for financial fraud, but ethical risks exist if the data is biased. Dr. Steven Mintz explores the principles governing the ethical use of AI. Ethics are important, whether in our personal or professional lives. Most people believe that ethical behavior encompasses standards such as...
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Emerging Strategies in the Evolving Area of Predictive Scheduling
States and cities nationwide have instituted predictive scheduling laws, aiming to give employees a greater sense...
How to Build an Effective E&C Program
Once upon a time, a corporate compliance program might have been a “nice to have” element....
Recent Changes from the DOJ and What They Mean for the Compliance Practitioner
As we move ahead in the ethics and compliance world in 2020, Jay Rosen looks back...
Minimizing Liability Under the SEC’s Reg-BI
RumbergerKirk’s Pete Tepley and Meredith Lees highlight litigation risks posed by the SEC’s Regulation Best Interest...
5 Trends for Legal and Compliance to Watch in 2020
Tens of thousands of respondents have weighed in via multiple surveys, and Gartner analysts have identified...
Culture, Integrity and the Board’s Role in Guarding Corporate Reputation
The reputational risk that can result from allegations of noncompliance with corruption, bribery or money-laundering regulations...
Automating KYC Compliance with Smart ID&V
As customers increasingly prefer to do their banking via smart devices, it’s time for banks to...
Compliance Trends to Help You Prepare for 2020
Tuesday, January 21, 2020 | 10 a.m. CET / 5 p.m. HKT Organizations recognize their critical role in ending corruption,...
Third-Party Risk: Reduce Vendor Fatigue and Streamline Assessments
Thursday, January 30 | 12:00 PM ET Vendor risk assessment questionnaires are vital to the success of your Third-Party Risk...
Risky Business: Accepting Fear to Fuel a Disruptive Mindset
The world is in better shape than we might think – an encouraging thought at the outset of a new...
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