Can ethics put the necessary humanity into AI?

Jul 3, 2024

Carter Cousineau, Vice-president of data and model governance at Thomson Reuters, dives into the ethical implications of AI in the legal field. He discusses how to integrate AI responsibly while keeping human-centric values at the forefront. Cousineau addresses concerns about privacy, fairness, and bias, highlighting the importance of governance in building trusted AI systems. He also emphasizes the need for transparency and interpretability in AI operations to navigate the complexities of this rapidly evolving technology.

Ask episode

AI Snips

Chapters

Transcript

Episode notes

INSIGHT

Humanizing AI Amid Fears

AI raises fears of privacy loss and embedded biases, risking less humanity in society.
Making AI human-centric is crucial to ensure it augments, not replaces, human roles.

INSIGHT

Governance Ensures Trusted AI

Governance is essential integrating AI into trusted knowledge and content systems.
Responsible AI frameworks boost accountability, transparency, and product integrity for users.

ADVICE

Prioritize Transparency in AI

Ensure AI model transparency to help users understand how recommendations form.
Transparency includes data reliability, development info, user training, and protection from exploitation.

Get the Snipd Podcast app to discover more snips from this episode

Get the app

Unpacking the ethics of AI in the legal industry

As we integrate the power of artificial intelligence into workplaces, the demand for responsible, human-centric processes grows

Every anecdote about errors and embedded biases leads to fears that more AI could lead to less humanity in how society functions. So how do we make AI more human? How do we ensure that the benefits of AI are delivered as an augmentation and not as a replacement?

Featuring:

Carter Cousineau – vice-president of data and model governance, Thomson Reuters.

Artificial intelligence is quickly establishing itself as a powerful research assistant for legal professionals. But as these AI tools enter the market, how are we managing the ethical and cultural dilemmas that arrive alongside them? From the broad societal fears and anxieties AI has raised, to the risks of irresponsible usage, it’s essential to approach AI with a clear sense of what can go wrong.

Carter Cousineau, the vice-president of data and model governance at Thomson Reuters, sees a number of key concerns around AI today. These include fears of privacy loss and digital manipulation, and apprehension around fairness and bias. When it comes to bringing AI into knowledge resources, Cousineau sees governance work as critical to building trusted AI-enabled systems.

“When you’re looking at integrating AI into systems where trusted knowledge and content resources are foundational, governance work is essential,” he says.

“Ensuring AI-driven processes are accountable, transparent and aligned to ethical standards. Responsible AI frameworks and processes help to mitigate and manage AI risks, while improving the integrity and reliability of products for both customers and employees.”

In our conversation, we explore the importance of transparency and interpretability in building trusted AI systems, and consider how Thomson Reuters has been managing its own AI integration work.

Plus, we examine what law firms need to be doing to prepare their data – and their cultures – to take advantage of AI-powered research tools, and offer advice on how to develop processes to improve value and outcomes for clients.

Credits:

The AI and the Law podcast is produced by Guardian Labs Australia.

Hosted and written by: Seamus Byrne

Guardian Labs producer: Minsoo Park

Guardian Labs lead commercial editor: Nicola Harvey

Sound editor: Seamus Byrne

Key art: Jacob Taylor